Robotics

The Shadow robot hand system

Robotics is the branch of science that includes mechanical engineering, electrical engineering, computer science and others. Robotics deals with the design, construction, operation, and use of robots,[1] as well as computer systems for their control, sensory feedback, and information processing.

These technologies are used to develop machines that can substitute for humans. Robots can be used in any situation and for any purpose, but today many are used in dangerous environments (including bomb detection and de-activation), manufacturing processes, or where humans cannot survive. Robots can take on any form but some are made to resemble humans in appearance. This is said to help in the acceptance of a robot in certain replicative behaviors usually performed by people. Such robots attempt to replicate walking, lifting, speech, cognition, and basically anything a human can do. Many of today's robots are inspired by nature, contributing to the field of bio-inspired robotics.

The concept of creating machines that can operate autonomously dates back to classical times, but research into the functionality and potential uses of robots did not grow substantially until the 20th century.[2] Throughout history, it has been frequently assumed that robots will one day be able to mimic human behavior and manage tasks in a human-like fashion. Today, robotics is a rapidly growing field, as technological advances continue; researching, designing, and building new robots serve various practical purposes, whether domestically, commercially, or militarily. Many robots are built to do jobs that are hazardous to people such as defusing bombs, finding survivors in unstable ruins, and exploring mines and shipwrecks. Robotics is also used in STEM (Science, Technology, Engineering, and Mathematics) as a teaching aid.

Etymology

The word robotics was derived from the word robot, which was introduced to the public by Czech writer Karel Čapek in his play R.U.R. (Rossum's Universal Robots), which was published in 1920.[3] The word robot comes from the Slavic word robota, which means labour. The play begins in a factory that makes artificial people called robots, creatures who can be mistaken for humans – very similar to the modern ideas of androids. Karel Čapek himself did not coin the word. He wrote a short letter in reference to an etymology in the Oxford English Dictionary in which he named his brother Josef Čapek as its actual originator.[3]

According to the Oxford English Dictionary, the word robotics was first used in print by Isaac Asimov, in his science fiction short story "Liar!", published in May 1941 in Astounding Science Fiction. Asimov was unaware that he was coining the term; since the science and technology of electrical devices is electronics, he assumed robotics already referred to the science and technology of robots. In some of Asimov's other works, he states that the first use of the word robotics was in his short story Runaround (Astounding Science Fiction, March 1942).[4][5] However, the original publication of "Liar!" predates that of "Runaround" by ten months, so the former is generally cited as the word's origin.

History of robotics

In 1942 the science fiction writer Isaac Asimov created his Three Laws of Robotics.

In 1948 Norbert Wiener formulated the principles of cybernetics, the basis of practical robotics.

Fully autonomouss only appeared in the second half of the 20th century. The first digitally operated and programmable robot, the Unimate, was installed in 1961 to lift hot pieces of metal from a die casting machine and stack them. Commercial and industrial robots are widespread today and used to perform jobs more cheaply, more accurately and more reliably, than humans. They are also employed in some jobs which are too dirty, dangerous, or dull to be suitable for humans. Robots are widely used in manufacturing, assembly, packing and packaging, transport, earth and space exploration, surgery, weaponry, laboratory research, safety, and the mass production of consumer and industrial goods.[6]

Date Significance Robot Name Inventor
Third century B.C. and earlier One of the earliest descriptions of automata appears in the Lie Zi text, on a much earlier encounter between King Mu of Zhou (1023–957 BC) and a mechanical engineer known as Yan Shi, an 'artificer'. The latter allegedly presented the king with a life-size, human-shaped figure of his mechanical handiwork.[7] Yan Shi (Chinese: 偃师)
First century A.D. and earlier Descriptions of more than 100 machines and automata, including a fire engine, a wind organ, a coin-operated machine, and a steam-powered engine, in Pneumatica and Automata by Heron of Alexandria Ctesibius, Philo of Byzantium, Heron of Alexandria, and others
c. 420 B.C.E A wooden, steam propelled bird, which was able to fly Archytas of Tarentum
1206 Created early humanoid automata, programmable automaton band[8] Robot band, hand-washing automaton,[9] automated moving peacocks[10] Al-Jazari
1495 Designs for a humanoid robot Mechanical Knight Leonardo da Vinci
1738 Mechanical duck that was able to eat, flap its wings, and excrete Digesting Duck Jacques de Vaucanson
1898 Nikola Tesla demonstrates first radio-controlled vessel. Teleautomaton Nikola Tesla
1921 First fictional automatons called "robots" appear in the play R.U.R. Rossum's Universal Robots Karel Čapek
1930s Humanoid robot exhibited at the 1939 and 1940 World's Fairs Elektro Westinghouse Electric Corporation
1946 First general-purpose digital computer Whirlwind Multiple people
1948 Simple robots exhibiting biological behaviors[11] Elsie and Elmer William Grey Walter
1956 First commercial robot, from the Unimation company founded by George Devol and Joseph Engelberger, based on Devol's patents[12] Unimate George Devol
1961 First installed industrial robot. Unimate George Devol
1973 First industrial robot with six electromechanically driven axes[13][14] Famulus KUKA Robot Group
1974 The world’s first microcomputer controlled electric industrial robot, IRB 6 from ASEA, was delivered to a small mechanical engineering company in southern Sweden. The design of this robot had been patented already 1972. IRB 6 ABB Robot Group
1975 Programmable universal manipulation arm, a Unimation product PUMA Victor Scheinman

Robotic aspects

Robotic construction
Electrical aspect
A level of programming

There are many types of robots; they are used in many different environments and for many different uses, although being very diverse in application and form they all share three basic similarities when it comes to their construction:

  1. Robots all have some kind of mechanical construction, a frame, form or shape designed to achieve a particular task. For example, a robot designed to travel across heavy dirt or mud, might use caterpillar tracks. The mechanical aspect is mostly the creator's solution to completing the assigned task and dealing with the physics of the environment around it. Form follows function.
  2. Robots have electrical components which power and control the machinery. For example, the robot with caterpillar tracks would need some kind of power to move the tracker treads. That power comes in the form of electricity, which will have to travel through a wire and originate from a battery, a basic electrical circuit. Even petrol powered machines that get their power mainly from petrol still require an electric current to start the combustion process which is why most petrol powered machines like cars, have batteries. The electrical aspect of robots is used for movement (through motors), sensing (where electrical signals are used to measure things like heat, sound, position, and energy status) and operation (robots need some level of electrical energy supplied to their motors and sensors in order to activate and perform basic operations)
  3. All robots contain some level of computer programming code. A program is how a robot decides when or how to do something. In the caterpillar track example, a robot that needs to move across a muddy road may have the correct mechanical construction, and receive the correct amount of power from its battery, but would not go anywhere without a program telling it to move. Programs are the core essence of a robot, it could have excellent mechanical and electrical construction, but if its program is poorly constructed its performance will be very poor (or it may not perform at all). There are three different types of robotic programs: remote control, artificial intelligence and hybrid. A robot with remote control programing has a preexisting set of commands that it will only perform if and when it receives a signal from a control source, typically a human being with a remote control. It is perhaps more appropriate to view devices controlled primarily by human commands as falling in the discipline of automation rather than robotics. Robots that use artificial intelligence interact with their environment on their own without a control source, and can determine reactions to objects and problems they encounter using their preexisting programming. Hybrid is a form of programming that incorporates both AI and RC functions.

Applications

As more and more robots are designed for specific tasks this method of classification becomes more relevant. For example, many robots are designed for assembly work, which may not be readily adaptable for other applications. They are termed as "assembly robots". For seam welding, some suppliers provide complete welding systems with the robot i.e. the welding equipment along with other material handling facilities like turntables etc. as an integrated unit. Such an integrated robotic system is called a "welding robot" even though its discrete manipulator unit could be adapted to a variety of tasks. Some robots are specifically designed for heavy load manipulation, and are labelled as "heavy duty robots."

Current and potential applications include:

Components

Power source

Further information: Power supply and Energy storage

At present mostly (lead–acid) batteries are used as a power source. Many different types of batteries can be used as a power source for robots. They range from lead–acid batteries, which are safe and have relatively long shelf lives but are rather heavy compared to silver–cadmium batteries that are much smaller in volume and are currently much more expensive. Designing a battery-powered robot needs to take into account factors such as safety, cycle lifetime and weight. Generators, often some type of internal combustion engine, can also be used. However, such designs are often mechanically complex and need a fuel, require heat dissipation and are relatively heavy. A tether connecting the robot to a power supply would remove the power supply from the robot entirely. This has the advantage of saving weight and space by moving all power generation and storage components elsewhere. However, this design does come with the drawback of constantly having a cable connected to the robot, which can be difficult to manage.[20] Potential power sources could be:

Actuation

Main article: Actuator
A robotic leg powered by air muscles

Actuators are the "muscles" of a robot, the parts which convert stored energy into movement. By far the most popular actuators are electric motors that rotate a wheel or gear, and linear actuators that control industrial robots in factories. There are some recent advances in alternative types of actuators, powered by electricity, chemicals, or compressed air.

Electric motors

Main article: Electric motor

The vast majority of robots use electric motors, often brushed and brushless DC motors in portable robots or AC motors in industrial robots and CNC machines. These motors are often preferred in systems with lighter loads, and where the predominant form of motion is rotational.

Linear actuators

Main article: Linear actuator

Various types of linear actuators move in and out instead of by spinning, and often have quicker direction changes, particularly when very large forces are needed such as with industrial robotics. They are typically powered by compressed air (pneumatic actuator) or an oil (hydraulic actuator).

Series elastic actuators

A spring can be designed as part of the motor actuator, to allow improved force control. It has been used in various robots, particularly walking humanoid robots.[21]

Air muscles

Pneumatic artificial muscles, also known as air muscles, are special tubes that expand(typically up to 40%) when air is forced inside them. They are used in some robot applications.[22][23][24]

Muscle wire

Main article: Shape memory alloy

Muscle wire, also known as shape memory alloy, Nitinol® or Flexinol® wire, is a material which contracts (under 5%) when electricity is applied. They have been used for some small robot applications.[25][26]

Electroactive polymers

EAPs or EPAMs are a new plastic material that can contract substantially (up to 380% activation strain) from electricity, and have been used in facial muscles and arms of humanoid robots,[27] and to enable new robots to float,[28] fly, swim or walk.[29]

Piezo motors

Main article: Piezoelectric motor

Recent alternatives to DC motors are piezo motors or ultrasonic motors. These work on a fundamentally different principle, whereby tiny piezoceramic elements, vibrating many thousands of times per second, cause linear or rotary motion. There are different mechanisms of operation; one type uses the vibration of the piezo elements to step the motor in a circle or a straight line.[30] Another type uses the piezo elements to cause a nut to vibrate or to drive a screw. The advantages of these motors are nanometer resolution, speed, and available force for their size.[31] These motors are already available commercially, and being used on some robots.[32][33]

Elastic nanotubes

Further information: Nanotube

Elastic nanotubes are a promising artificial muscle technology in early-stage experimental development. The absence of defects in carbon nanotubes enables these filaments to deform elastically by several percent, with energy storage levels of perhaps 10 J/cm3 for metal nanotubes. Human biceps could be replaced with an 8 mm diameter wire of this material. Such compact "muscle" might allow future robots to outrun and outjump humans.[34]

Sensing

Main article: Robotic sensing

Sensors allow robots to receive information about a certain measurement of the environment, or internal components. This is essential for robots to perform their tasks, and act upon any changes in the environment to calculate the appropriate response. They are used for various forms of measurements, to give the robots warnings about safety or malfunctions, and to provide real time information of the task it is performing.

Touch

Main article: Tactile sensor

Current robotic and prosthetic hands receive far less tactile information than the human hand. Recent research has developed a tactile sensor array that mimics the mechanical properties and touch receptors of human fingertips.[35][36] The sensor array is constructed as a rigid core surrounded by conductive fluid contained by an elastomeric skin. Electrodes are mounted on the surface of the rigid core and are connected to an impedance-measuring device within the core. When the artificial skin touches an object the fluid path around the electrodes is deformed, producing impedance changes that map the forces received from the object. The researchers expect that an important function of such artificial fingertips will be adjusting robotic grip on held objects.

Scientists from several European countries and Israel developed a prosthetic hand in 2009, called SmartHand, which functions like a real one—allowing patients to write with it, type on a keyboard, play piano and perform other fine movements. The prosthesis has sensors which enable the patient to sense real feeling in its fingertips.[37]

Vision

Main article: Computer vision

Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences and views from cameras.

In most practical computer vision applications, the computers are pre-programmed to solve a particular task, but methods based on learning are now becoming increasingly common.

Computer vision systems rely on image sensors which detect electromagnetic radiation which is typically in the form of either visible light or infra-red light. The sensors are designed using solid-state physics. The process by which light propagates and reflects off surfaces is explained using optics. Sophisticated image sensors even require quantum mechanics to provide a complete understanding of the image formation process. Robots can also be equipped with multiple vision sensors to be better able to compute the sense of depth in the environment. Like human eyes, robots' "eyes" must also be able to focus on a particular area of interest, and also adjust to variations in light intensities.

There is a subfield within computer vision where artificial systems are designed to mimic the processing and behavior of biological system, at different levels of complexity. Also, some of the learning-based methods developed within computer vision have their background in biology.

Other

Other common forms of sensing in robotics use lidar, radar and sonar.

Manipulation

KUKA industrial robot operating in a foundry
Puma, one of the first industrial robots
Baxter, a modern and versatile industrial robot developed by Rodney Brooks
Further information: Mobile manipulator

Robots need to manipulate objects; pick up, modify, destroy, or otherwise have an effect. Thus the "hands" of a robot are often referred to as end effectors,[38] while the "arm" is referred to as a manipulator.[39] Most robot arms have replaceable effectors, each allowing them to perform some small range of tasks. Some have a fixed manipulator which cannot be replaced, while a few have one very general purpose manipulator, for example a humanoid hand.[40] Learning how to manipulate a robot often requires a close feedback between human to the robot, although there are several methods for remote manipulation of robots. [41]

Mechanical grippers

One of the most common effectors is the gripper. In its simplest manifestation it consists of just two fingers which can open and close to pick up and let go of a range of small objects. Fingers can for example be made of a chain with a metal wire run through it.[42] Hands that resemble and work more like a human hand include the Shadow Hand and the Robonaut hand.[43] Hands that are of a mid-level complexity include the Delft hand.[44][45] Mechanical grippers can come in various types, including friction and encompassing jaws. Friction jaws use all the force of the gripper to hold the object in place using friction. Encompassing jaws cradle the object in place, using less friction.

Vacuum grippers

Vacuum grippers are very simple astrictive[46] devices, but can hold very large loads provided the prehension surface is smooth enough to ensure suction.

Pick and place robots for electronic components and for large objects like car windscreens, often use very simple vacuum grippers.

General purpose effectors

Some advanced robots are beginning to use fully humanoid hands, like the Shadow Hand, MANUS,[47] and the Schunk hand.[48] These are highly dexterous manipulators, with as many as 20 degrees of freedom and hundreds of tactile sensors.[49]

Locomotion

Main articles: Robot locomotion and Mobile robot

Rolling robots

Segway in the Robot museum in Nagoya

For simplicity most mobile robots have four wheels or a number of continuous tracks. Some researchers have tried to create more complex wheeled robots with only one or two wheels. These can have certain advantages such as greater efficiency and reduced parts, as well as allowing a robot to navigate in confined places that a four-wheeled robot would not be able to.

Two-wheeled balancing robots

Balancing robots generally use a gyroscope to detect how much a robot is falling and then drive the wheels proportionally in the same direction, to counterbalance the fall at hundreds of times per second, based on the dynamics of an inverted pendulum.[50] Many different balancing robots have been designed.[51] While the Segway is not commonly thought of as a robot, it can be thought of as a component of a robot, when used as such Segway refer to them as RMP (Robotic Mobility Platform). An example of this use has been as NASA's Robonaut that has been mounted on a Segway.[52]

One-wheeled balancing robots

A one-wheeled balancing robot is an extension of a two-wheeled balancing robot so that it can move in any 2D direction using a round ball as its only wheel. Several one-wheeled balancing robots have been designed recently, such as Carnegie Mellon University's "Ballbot" that is the approximate height and width of a person, and Tohoku Gakuin University's "BallIP".[53] Because of the long, thin shape and ability to maneuver in tight spaces, they have the potential to function better than other robots in environments with people.[54]

Spherical orb robots
Main article: Spherical robot

Several attempts have been made in robots that are completely inside a spherical ball, either by spinning a weight inside the ball,[55][56] or by rotating the outer shells of the sphere.[57][58] These have also been referred to as an orb bot [59] or a ball bot.[60][61]

Six-wheeled robots

Using six wheels instead of four wheels can give better traction or grip in outdoor terrain such as on rocky dirt or grass.

Tracked robots
TALON military robots used by the United States Army

Tank tracks provide even more traction than a six-wheeled robot. Tracked wheels behave as if they were made of hundreds of wheels, therefore are very common for outdoor and military robots, where the robot must drive on very rough terrain. However, they are difficult to use indoors such as on carpets and smooth floors. Examples include NASA's Urban Robot "Urbie".[62]

Walking applied to robots

Walking is a difficult and dynamic problem to solve. Several robots have been made which can walk reliably on two legs, however none have yet been made which are as robust as a human. There has been much study on human inspired walking, such as AMBER lab which was established in 2008 by the Mechanical Engineering Department at Texas A&M University.[63] Many other robots have been built that walk on more than two legs, due to these robots being significantly easier to construct.[64][65] Walking robots can be used for uneven terrains, which would provide better mobility and energy efficiency than other locomotion methods. Hybrids too have been proposed in movies such as I, Robot, where they walk on 2 legs and switch to 4 (arms+legs) when going to a sprint. Typically, robots on 2 legs can walk well on flat floors and can occasionally walk up stairs. None can walk over rocky, uneven terrain. Some of the methods which have been tried are:

ZMP Technique
Main article: Zero Moment Point

The Zero Moment Point (ZMP) is the algorithm used by robots such as Honda's ASIMO. The robot's onboard computer tries to keep the total inertial forces (the combination of Earth's gravity and the acceleration and deceleration of walking), exactly opposed by the floor reaction force (the force of the floor pushing back on the robot's foot). In this way, the two forces cancel out, leaving no moment (force causing the robot to rotate and fall over).[66] However, this is not exactly how a human walks, and the difference is obvious to human observers, some of whom have pointed out that ASIMO walks as if it needs the lavatory.[67][68][69] ASIMO's walking algorithm is not static, and some dynamic balancing is used (see below). However, it still requires a smooth surface to walk on.

Hopping

Several robots, built in the 1980s by Marc Raibert at the MIT Leg Laboratory, successfully demonstrated very dynamic walking. Initially, a robot with only one leg, and a very small foot, could stay upright simply by hopping. The movement is the same as that of a person on a pogo stick. As the robot falls to one side, it would jump slightly in that direction, in order to catch itself.[70] Soon, the algorithm was generalised to two and four legs. A bipedal robot was demonstrated running and even performing somersaults.[71] A quadruped was also demonstrated which could trot, run, pace, and bound.[72] For a full list of these robots, see the MIT Leg Lab Robots page.[73]

Dynamic balancing (controlled falling)

A more advanced way for a robot to walk is by using a dynamic balancing algorithm, which is potentially more robust than the Zero Moment Point technique, as it constantly monitors the robot's motion, and places the feet in order to maintain stability.[74] This technique was recently demonstrated by Anybots' Dexter Robot,[75] which is so stable, it can even jump.[76] Another example is the TU Delft Flame.

Passive dynamics
Main article: Passive dynamics

Perhaps the most promising approach utilizes passive dynamics where the momentum of swinging limbs is used for greater efficiency. It has been shown that totally unpowered humanoid mechanisms can walk down a gentle slope, using only gravity to propel themselves. Using this technique, a robot need only supply a small amount of motor power to walk along a flat surface or a little more to walk up a hill. This technique promises to make walking robots at least ten times more efficient than ZMP walkers, like ASIMO.[77][78]

Other methods of locomotion

Flying
Two robot snakes. Left one has 64 motors (with 2 degrees of freedom per segment), the right one 10.

A modern passenger airliner is essentially a flying robot, with two humans to manage it. The autopilot can control the plane for each stage of the journey, including takeoff, normal flight, and even landing.[79] Other flying robots are uninhabited, and are known as unmanned aerial vehicles (UAVs). They can be smaller and lighter without a human pilot on board, and fly into dangerous territory for military surveillance missions. Some can even fire on targets under command. UAVs are also being developed which can fire on targets automatically, without the need for a command from a human. Other flying robots include cruise missiles, the Entomopter, and the Epson micro helicopter robot. Robots such as the Air Penguin, Air Ray, and Air Jelly have lighter-than-air bodies, propelled by paddles, and guided by sonar.

Snaking

Several snake robots have been successfully developed. Mimicking the way real snakes move, these robots can navigate very confined spaces, meaning they may one day be used to search for people trapped in collapsed buildings.[80] The Japanese ACM-R5 snake robot[81] can even navigate both on land and in water.[82]

Skating

A small number of skating robots have been developed, one of which is a multi-mode walking and skating device. It has four legs, with unpowered wheels, which can either step or roll.[83] Another robot, Plen, can use a miniature skateboard or roller-skates, and skate across a desktop.[84]

Capuchin, a climbing robot
Climbing

Several different approaches have been used to develop robots that have the ability to climb vertical surfaces. One approach mimics the movements of a human climber on a wall with protrusions; adjusting the center of mass and moving each limb in turn to gain leverage. An example of this is Capuchin,[85] built by Dr. Ruixiang Zhang at Stanford University, California. Another approach uses the specialized toe pad method of wall-climbing geckoes, which can run on smooth surfaces such as vertical glass. Examples of this approach include Wallbot[86] and Stickybot.[87] China's Technology Daily reported on November 15, 2008 that Dr. Li Hiu Yeung and his research group of New Concept Aircraft (Zhuhai) Co., Ltd. had successfully developed a bionic gecko robot named "Speedy Freelander". According to Dr. Li, the gecko robot could rapidly climb up and down a variety of building walls, navigate through ground and wall fissures, and walk upside-down on the ceiling. It was also able to adapt to the surfaces of smooth glass, rough, sticky or dusty walls as well as various types of metallic materials. It could also identify and circumvent obstacles automatically. Its flexibility and speed were comparable to a natural gecko. A third approach is to mimic the motion of a snake climbing a pole.. Lastely one may mimic the movements of a human climber on a wall with protrusions; adjusting the center of mass and moving each limb in turn to gain leverage.

Swimming (Piscine)

It is calculated that when swimming some fish can achieve a propulsive efficiency greater than 90%.[88] Furthermore, they can accelerate and maneuver far better than any man-made boat or submarine, and produce less noise and water disturbance. Therefore, many researchers studying underwater robots would like to copy this type of locomotion.[89] Notable examples are the Essex University Computer Science Robotic Fish G9,[90] and the Robot Tuna built by the Institute of Field Robotics, to analyze and mathematically model thunniform motion.[91] The Aqua Penguin,[92] designed and built by Festo of Germany, copies the streamlined shape and propulsion by front "flippers" of penguins. Festo have also built the Aqua Ray and Aqua Jelly, which emulate the locomotion of manta ray, and jellyfish, respectively.

Robotic Fish: iSplash-II

In 2014 iSplash-II was developed by R.J Clapham PhD at Essex University. It was the first robotic fish capable of outperforming real carangiform fish in terms of average maximum velocity (measured in body lengths/ second) and endurance, the duration that top speed is maintained. This build attained swimming speeds of 11.6BL/s (i.e. 3.7 m/s).[93] The first build, iSplash-I (2014) was the first robotic platform to apply a full-body length carangiform swimming motion which was found to increase swimming speed by 27% over the traditional approach of a posterior confined wave form.[94]

Sailing
The autonomous sailboat robot Vaimos

Sailboat robots have also been developed in order to make measurements at the surface of the ocean. A typical sailboat robot is Vaimos [95] built by IFREMER and ENSTA-Bretagne. Since the propulsion of sailboat robots uses the wind, the energy of the batteries is only used for the computer, for the communication and for the actuators (to tune the rudder and the sail). If the robot is equipped with solar panels, the robot could theoretically navigate forever. The two main competitions of sailboat robots are WRSC, which takes place every year in Europe, and Sailbot.

Environmental interaction and navigation

Main article: Robotic mapping
Radar, GPS, and lidar, are all combined to provide proper navigation and obstacle avoidance (vehicle developed for 2007 DARPA Urban Challenge)

Though a significant percentage of robots in commission today are either human controlled, or operate in a static environment, there is an increasing interest in robots that can operate autonomously in a dynamic environment. These robots require some combination of navigation hardware and software in order to traverse their environment. In particular unforeseen events (e.g. people and other obstacles that are not stationary) can cause problems or collisions. Some highly advanced robots such as ASIMO, and Meinü robot have particularly good robot navigation hardware and software. Also, self-controlled cars, Ernst Dickmanns' driverless car, and the entries in the DARPA Grand Challenge, are capable of sensing the environment well and subsequently making navigational decisions based on this information. Most of these robots employ a GPS navigation device with waypoints, along with radar, sometimes combined with other sensory data such as lidar, video cameras, and inertial guidance systems for better navigation between waypoints.

Human-robot interaction

Kismet can produce a range of facial expressions.

The state of the art in sensory intelligence for robots will have to progress through several orders of magnitude if we want the robots working in our homes to go beyond vacuum-cleaning the floors. If robots are to work effectively in homes and other non-industrial environments, the way they are instructed to perform their jobs, and especially how they will be told to stop will be of critical importance. The people who interact with them may have little or no training in robotics, and so any interface will need to be extremely intuitive. Science fiction authors also typically assume that robots will eventually be capable of communicating with humans through speech, gestures, and facial expressions, rather than a command-line interface. Although speech would be the most natural way for the human to communicate, it is unnatural for the robot. It will probably be a long time before robots interact as naturally as the fictional C-3PO, or Data of Star Trek, Next Generation.

Speech recognition

Main article: Speech recognition

Interpreting the continuous flow of sounds coming from a human, in real time, is a difficult task for a computer, mostly because of the great variability of speech.[96] The same word, spoken by the same person may sound different depending on local acoustics, volume, the previous word, whether or not the speaker has a cold, etc.. It becomes even harder when the speaker has a different accent.[97] Nevertheless, great strides have been made in the field since Davis, Biddulph, and Balashek designed the first "voice input system" which recognized "ten digits spoken by a single user with 100% accuracy" in 1952.[98] Currently, the best systems can recognize continuous, natural speech, up to 160 words per minute, with an accuracy of 95%.[99]

Robotic voice

Other hurdles exist when allowing the robot to use voice for interacting with humans. For social reasons, synthetic voice proves suboptimal as a communication medium,[100] making it necessary to develop the emotional component of robotic voice through various techniques.[101][102]

Gestures

Further information: Gesture recognition

One can imagine, in the future, explaining to a robot chef how to make a pastry, or asking directions from a robot police officer. In both of these cases, making hand gestures would aid the verbal descriptions. In the first case, the robot would be recognizing gestures made by the human, and perhaps repeating them for confirmation. In the second case, the robot police officer would gesture to indicate "down the road, then turn right". It is likely that gestures will make up a part of the interaction between humans and robots.[103] A great many systems have been developed to recognize human hand gestures.[104]

Facial expression

Further information: Facial expression

Facial expressions can provide rapid feedback on the progress of a dialog between two humans, and soon may be able to do the same for humans and robots. Robotic faces have been constructed by Hanson Robotics using their elastic polymer called Frubber, allowing a large number of facial expressions due to the elasticity of the rubber facial coating and embedded subsurface motors (servos).[105] The coating and servos are built on a metal skull. A robot should know how to approach a human, judging by their facial expression and body language. Whether the person is happy, frightened, or crazy-looking affects the type of interaction expected of the robot. Likewise, robots like Kismet and the more recent addition, Nexi[106] can produce a range of facial expressions, allowing it to have meaningful social exchanges with humans.[107]

Artificial emotions

Artificial emotions can also be generated, composed of a sequence of facial expressions and/or gestures. As can be seen from the movie Final Fantasy: The Spirits Within, the programming of these artificial emotions is complex and requires a large amount of human observation. To simplify this programming in the movie, presets were created together with a special software program. This decreased the amount of time needed to make the film. These presets could possibly be transferred for use in real-life robots.

Personality

Many of the robots of science fiction have a personality, something which may or may not be desirable in the commercial robots of the future.[108] Nevertheless, researchers are trying to create robots which appear to have a personality:[109][110] i.e. they use sounds, facial expressions, and body language to try to convey an internal state, which may be joy, sadness, or fear. One commercial example is Pleo, a toy robot dinosaur, which can exhibit several apparent emotions.[111]

Social Intelligence

The Socially Intelligent Machines Lab of the Georgia Institute of Technology researches new concepts of guided teaching interaction with robots. Aim of the projects is a social robot learns task goals from human demonstrations without prior knowledge of high-level concepts. These new concepts are grounded from low-level continuous sensor data through unsupervised learning, and task goals are subsequently learned using a Bayesian approach. These concepts can be used to transfer knowledge to future tasks, resulting in faster learning of those tasks. The results are demonstrated by the robot Curi who can scoop some pasta from a pot onto a plate and serve the sauce on top.[112]

Control

Puppet Magnus, a robot-manipulated marionette with complex control systems
RuBot II can resolve manually Rubik cubes
Further information: Control system

The mechanical structure of a robot must be controlled to perform tasks. The control of a robot involves three distinct phases – perception, processing, and action (robotic paradigms). Sensors give information about the environment or the robot itself (e.g. the position of its joints or its end effector). This information is then processed to be stored or transmitted, and to calculate the appropriate signals to the actuators (motors) which move the mechanical.

The processing phase can range in complexity. At a reactive level, it may translate raw sensor information directly into actuator commands. Sensor fusion may first be used to estimate parameters of interest (e.g. the position of the robot's gripper) from noisy sensor data. An immediate task (such as moving the gripper in a certain direction) is inferred from these estimates. Techniques from control theory convert the task into commands that drive the actuators.

At longer time scales or with more sophisticated tasks, the robot may need to build and reason with a "cognitive" model. Cognitive models try to represent the robot, the world, and how they interact. Pattern recognition and computer vision can be used to track objects. Mapping techniques can be used to build maps of the world. Finally, motion planning and other artificial intelligence techniques may be used to figure out how to act. For example, a planner may figure out how to achieve a task without hitting obstacles, falling over, etc.

Autonomy levels

TOPIO, a humanoid robot, played ping pong at Tokyo IREX 2009.[113]

Control systems may also have varying levels of autonomy.

  1. Direct interaction is used for haptic or tele-operated devices, and the human has nearly complete control over the robot's motion.
  2. Operator-assist modes have the operator commanding medium-to-high-level tasks, with the robot automatically figuring out how to achieve them.
  3. An autonomous robot may go for extended periods of time without human interaction. Higher levels of autonomy do not necessarily require more complex cognitive capabilities. For example, robots in assembly plants are completely autonomous, but operate in a fixed pattern.

Another classification takes into account the interaction between human control and the machine motions.

  1. Teleoperation. A human controls each movement, each machine actuator change is specified by the operator.
  2. Supervisory. A human specifies general moves or position changes and the machine decides specific movements of its actuators.
  3. Task-level autonomy. The operator specifies only the task and the robot manages itself to complete it.
  4. Full autonomy. The machine will create and complete all its tasks without human interaction.

Robotics research

Much of the research in robotics focuses not on specific industrial tasks, but on investigations into new types of robots, alternative ways to think about or design robots, and new ways to manufacture them but other investigations, such as MIT's cyberflora project, are almost wholly academic.

A first particular new innovation in robot design is the opensourcing of robot-projects. To describe the level of advancement of a robot, the term "Generation Robots" can be used. This term is coined by Professor Hans Moravec, Principal Research Scientist at the Carnegie Mellon University Robotics Institute in describing the near future evolution of robot technology. First generation robots, Moravec predicted in 1997, should have an intellectual capacity comparable to perhaps a lizard and should become available by 2010. Because the first generation robot would be incapable of learning, however, Moravec predicts that the second generation robot would be an improvement over the first and become available by 2020, with the intelligence maybe comparable to that of a mouse. The third generation robot should have the intelligence comparable to that of a monkey. Though fourth generation robots, robots with human intelligence, professor Moravec predicts, would become possible, he does not predict this happening before around 2040 or 2050.[114]

The second is evolutionary robots. This is a methodology that uses evolutionary computation to help design robots, especially the body form, or motion and behavior controllers. In a similar way to natural evolution, a large population of robots is allowed to compete in some way, or their ability to perform a task is measured using a fitness function. Those that perform worst are removed from the population, and replaced by a new set, which have new behaviors based on those of the winners. Over time the population improves, and eventually a satisfactory robot may appear. This happens without any direct programming of the robots by the researchers. Researchers use this method both to create better robots,[115] and to explore the nature of evolution.[116] Because the process often requires many generations of robots to be simulated,[117] this technique may be run entirely or mostly in simulation, then tested on real robots once the evolved algorithms are good enough.[118] Currently, there are about 10 million industrial robots toiling around the world, and Japan is the top country having high density of utilizing robots in its manufacturing industry.

Dynamics and kinematics

Further information: Kinematics and Dynamics (mechanics)
External video
How the BB-8 Sphero Toy Works

The study of motion can be divided into kinematics and dynamics.[119] Direct kinematics refers to the calculation of end effector position, orientation, velocity, and acceleration when the corresponding joint values are known. Inverse kinematics refers to the opposite case in which required joint values are calculated for given end effector values, as done in path planning. Some special aspects of kinematics include handling of redundancy (different possibilities of performing the same movement), collision avoidance, and singularity avoidance. Once all relevant positions, velocities, and accelerations have been calculated using kinematics, methods from the field of dynamics are used to study the effect of forces upon these movements. Direct dynamics refers to the calculation of accelerations in the robot once the applied forces are known. Direct dynamics is used in computer simulations of the robot. Inverse dynamics refers to the calculation of the actuator forces necessary to create a prescribed end effector acceleration. This information can be used to improve the control algorithms of a robot.

In each area mentioned above, researchers strive to develop new concepts and strategies, improve existing ones, and improve the interaction between these areas. To do this, criteria for "optimal" performance and ways to optimize design, structure, and control of robots must be developed and implemented.

Bionics and biomimetics

Bionics and biomimetics apply the physiology and methods of locomotion of animals to the design of robots. For example, the design of BionicKangaroo was based on the way kangaroos jump.

Education and training

Main article: Educational robotics
The SCORBOT-ER 4u educational robot

Robotics engineers design robots, maintain them, develop new applications for them, and conduct research to expand the potential of robotics.[120] Robots have become a popular educational tool in some middle and high schools, particularly in parts of the USA,[121] as well as in numerous youth summer camps, raising interest in programming, artificial intelligence and robotics among students. First-year computer science courses at some universities now include programming of a robot in addition to traditional software engineering-based coursework.[122][123]

Career training

Universities offer bachelors, masters, and doctoral degrees in the field of robotics.[124] Vocational schools offer robotics training aimed at careers in robotics.

Certification

The Robotics Certification Standards Alliance (RCSA) is an international robotics certification authority that confers various industry- and educational-related robotics certifications.

Summer robotics camp

Several national summer camp programs include robotics as part of their core curriculum. In addition, youth summer robotics programs are frequently offered by celebrated museums such as the American Museum of Natural History[125] and The Tech Museum of Innovation in Silicon Valley, CA, just to name a few.

Robotics competitions

Main article: Robot competition

There are lots of competitions all around the globe. One of the most important competitions is the FLL or FIRST Lego League. The idea of this specific competition is that kids start developing knowledge and getting into robotics while playing with Legos since they are 9 years old. This competition is associated with Ni or National Instruments.

Robotics afterschool programs

Many schools across the country are beginning to add robotics programs to their after school curriculum. Some major programs for afterschool robotics include FIRST Robotics Competition, Botball and B.E.S.T. Robotics.[126] Robotics competitions often include aspects of business and marketing as well as engineering and design.

The Lego company began a program for children to learn and get excited about robotics at a young age.[127]

Employment

A robot technician builds small all-terrain robots. (Courtesy: MobileRobots Inc)

Robotics is an essential component in many modern manufacturing environments. As factories increase their use of robots, the number of robotics–related jobs grow and have been observed to be steadily rising. [128] The employment of robots in industries has increased productivity and efficiency savings and is typically seen as a long term investment for benefactors.

Occupational safety and health implications of robotics

A discussion paper drawn up by EU-OSHA highlights how the spread of robotics presents both opportunities and challenges for occupational safety and health (OSH).[129]

The greatest OSH benefits stemming from the wider use of robotics should be substitution for people working in unhealthy or dangerous environments. In space, defence, security, or the nuclear industry, but also in logistics, maintenance and inspection, autonomous robots are particularly useful in replacing human workers performing dirty, dull or unsafe tasks, thus avoiding workers’ exposures to hazardous agents and conditions and reducing physical, ergonomic and psychosocial risks. For example, robots are already used to perform repetitive and monotonous tasks, to handle radioactive material or to work in explosive atmospheres. In the future, many other highly repetitive, risky or unpleasant tasks will be performed by robots in a variety of sectors like agriculture, construction, transport, healthcare, firefighting or cleaning services.[130]

Despite these advances, there are certain skills to which humans will be better suited than machines for some time to come and the question is how to achieve the best combination of human and robot skills. The advantages of robotics include heavy-duty jobs with precision and repeatability, whereas the advantages of humans include creativity, decision-making, flexibility and adaptability. This need to combine optimal skills has resulted in collaborative robots and humans sharing a common workspace more closely and led to the development of new approaches and standards to guarantee the safety of the “man-robot merger”. Some European countries are including robotics in their national programmes and trying to promote a safe and flexible co-operation between robots and operators to achieve better productivity. For example, the German Federal Institute for Occupational Safety and Health (BAuA) organises annual workshops on the topic “human-robot collaboration”.

In future, co-operation between robots and humans will be diversified, with robots increasing their autonomy and human-robot collaboration reaching completely new forms. Current approaches and technical standards[131] [132] aiming to protect employees from the risk of working with collaborative robots will have to be revised.

See also

References

  1. ↑ "robotics". Oxford Dictionaries. Retrieved 4 February 2011.
  2. ↑ Nocks, Lisa (2007). The robot : the life story of a technology. Westport, CT: Greenwood Publishing Group.
  3. 1 2 Zunt, Dominik. "Who did actually invent the word "robot" and what does it mean?". The Karel Čapek website. Retrieved 2007-09-11.
  4. ↑ Asimov, Isaac (1996) [1995]. "The Robot Chronicles". Gold. London: Voyager. pp. 224–225. ISBN 0-00-648202-3.
  5. ↑ Asimov, Isaac (1983). "4 The Word I Invented". Counting the Eons. Doubleday. Robotics has become a sufficiently well developed technology to warrant articles and books on its history and I have watched this in amazement, and in some disbelief, because I invented … the word
  6. ↑ "Robotics: About the Exhibition". The Tech Museum of Innovation. Retrieved 2008-09-15.
  7. ↑ Needham, Joseph (1991). Science and Civilisation in China: Volume 2, History of Scientific Thought. Cambridge University Press. ISBN 0-521-05800-7.
  8. ↑ Fowler, Charles B. (October 1967). "The Museum of Music: A History of Mechanical Instruments". Music Educators Journal. 54 (2): 45–49. doi:10.2307/3391092. JSTOR 3391092.
  9. ↑ Rosheim, Mark E. (1994). Robot Evolution: The Development of Anthrobotics. Wiley-IEEE. pp. 9–10. ISBN 0-471-02622-0.
  10. ↑ al-Jazari (Islamic artist), Encyclopædia Britannica.
  11. ↑ Imitation of Life: A History of the First Robots
  12. ↑ Waurzyniak, Patrick (2006). "Masters of Manufacturing: Joseph F. Engelberger". Society of Manufacturing Engineers. 137 (1).
  13. ↑ "KUKA Industrial Robot FAMULUS". Retrieved 2008-01-10.
  14. ↑ "History of Industrial Robots" (PDF). Retrieved 2012-10-27.
  15. ↑ Pinto, Jim (October 1, 2003). "Fully automated factories approach reality". AutomationWorld.
  16. ↑ Meet Boris, the robot that can load a dishwasher
  17. ↑ One database, developed by the United States Department of Energy contains information on almost 500 existing robotic technologies and can be found on the D&D Knowledge Management Information Tool.
  18. ↑ UIUC Agricultural Engineering | Faculty and Staff
  19. ↑ service-robots.org - agriculture & harvesting
  20. ↑ Dowling, Kevin. "Power Sources for Small Robots" (PDF). Carnegie Mellon University. Retrieved 11 May 2012.
  21. ↑ "CiteSeerX — Series Elastic Actuators for legged robots". Citeseerx.ist.psu.edu. Retrieved 2010-11-27.
  22. ↑ Air Muscles from Image Company
  23. ↑ Air Muscles from Shadow Robot
  24. ↑ Tondu, Bertrand (2012). "Modelling of the McKibben artificial muscle: A review." Journal of Intelligent Material Systems and Structures, Vol. 23, No. 3, pp. 225-253.
  25. ↑ "TALKING ELECTRONICS Nitinol Page-1". Talkingelectronics.com. Retrieved 2010-11-27.
  26. ↑ "lf205, Hardware: Building a Linux-controlled walking robot". Ibiblio.org. 2001-11-01. Retrieved 2010-11-27.
  27. ↑ "WW-EAP and Artificial Muscles". Eap.jpl.nasa.gov. Retrieved 2010-11-27.
  28. ↑ "Empa – a117-2-eap". Empa.ch. Retrieved 2010-11-27.
  29. ↑ "Electroactive Polymers (EAP) as Artificial Muscles (EPAM) for Robot Applications". Hizook. Retrieved 2010-11-27.
  30. ↑ "Piezo LEGS – -09-26".
  31. ↑ "Squiggle Motors: Overview". Retrieved 2007-10-08.
  32. ↑ Nishibori; et al. (2003). "Robot Hand with Fingers Using Vibration-Type Ultrasonic Motors (Driving Characteristics)". Journal of Robotics and Mechatronics. Retrieved 2007-10-09.
  33. ↑ Otake; et al. (2001). "Shape Design of Gel Robots made of Electroactive Polymer trolo Gel" (PDF). Retrieved 2007-10-16.
  34. ↑ John D. Madden, 2007, /science.1146351
  35. ↑ "Syntouch LLC: BioTac(R) Biomimetic Tactile Sensor Array". Retrieved 2009-08-10.
  36. ↑ Wettels, N; Santos, VJ; Johansson, RS; Loeb, Gerald E.; et al. (2008). "Biomimetic tactile sensor array". Advanced Robotics. 22 (8): 829–849. doi:10.1163/156855308X314533.
  37. ↑ "What is The SmartHand?". SmartHand Project. Retrieved 4 February 2011.
  38. ↑ "What is a robotic end-effector?". ATI Industrial Automation. 2007. Retrieved 2007-10-16.
  39. ↑ Crane, Carl D.; Joseph Duffy (1998). Kinematic Analysis of Robot Manipulators. Cambridge University Press. ISBN 0-521-57063-8. Retrieved 2007-10-16.
  40. ↑ G.J. Monkman, S. Hesse, R. Steinmann & H. Schunk – Robot Grippers – Wiley, Berlin 2007
  41. ↑ I. Ben-Gal, Y. Bukchin, O. Goldstain (2007. "Remote learning for the manipulation and control of robotic cells" (PDF). European Journal of Engineering Education 32 (4), 481-494, 2007.
  42. ↑ Discovery Channel's Mythbusters making mechanical gripper from chain and metal wire
  43. ↑ Robonaut hand
  44. ↑ Delft hand by TU Delft
  45. ↑ Delft hand by Gert Kragten
  46. ↑ Definition "astrictive" (to bind, confine, or constrict) in Collins English Dictionary & Thesaurus
  47. ↑ MANUS
  48. ↑ Allcock, Andrew (2006). "Anthropomorphic hand is almost human". Machinery. Retrieved 2007-10-17.
  49. ↑ Shadowrobot.com
  50. ↑ "T.O.B.B". Mtoussaint.de. Retrieved 2010-11-27.
  51. ↑ "nBot, a two wheel balancing robot". Geology.heroy.smu.edu. Retrieved 2010-11-27.
  52. ↑ "ROBONAUT Activity Report". NASA. 2004. Archived from the original on 2007-08-20. Retrieved 2007-10-20.
  53. ↑ "IEEE Spectrum: A Robot That Balances on a Ball". Spectrum.ieee.org. Retrieved 2010-11-27.
  54. ↑ "Carnegie Mellon Researchers Develop New Type of Mobile Robot That Balances and Moves on a Ball Instead of Legs or Wheels" (Press release). Carnegie Mellon. 2006-08-09. Retrieved 2007-10-20.
  55. ↑ "Spherical Robot Can Climb Over Obstacles". BotJunkie. Retrieved 2010-11-27.
  56. ↑ "Rotundus". Rotundus.se. Retrieved 2010-11-27.
  57. ↑ "OrbSwarm Gets A Brain". BotJunkie. 2007-07-11. Retrieved 2010-11-27.
  58. ↑ "Rolling Orbital Bluetooth Operated Thing". BotJunkie. Retrieved 2010-11-27.
  59. ↑ "Swarm". Orbswarm.com. Retrieved 2010-11-27.
  60. ↑ "The Ball Bot : Johnnytronic@Sun". Blogs.sun.com. Retrieved 2010-11-27.
  61. ↑ "Senior Design Projects | College of Engineering & Applied Science| University of Colorado at Boulder". Engineering.colorado.edu. 2008-04-30. Retrieved 2010-11-27.
  62. ↑ JPL Robotics: System: Commercial Rovers
  63. ↑ AMBER lab
  64. ↑ Multipod robots easy to construct
  65. ↑ AMRU-5 hexapod robot
  66. ↑ "Achieving Stable Walking". Honda Worldwide. Retrieved 2007-10-22.
  67. ↑ "Funny Walk". Pooter Geek. 2004-12-28. Retrieved 2007-10-22.
  68. ↑ "ASIMO's Pimp Shuffle". Popular Science. 2007-01-09. Retrieved 2007-10-22.
  69. ↑ Vtec Forum: A drunk robot? thread
  70. ↑ "3D One-Leg Hopper (1983–1984)". MIT Leg Laboratory. Retrieved 2007-10-22.
  71. ↑ "3D Biped (1989–1995)". MIT Leg Laboratory.
  72. ↑ "Quadruped (1984–1987)". MIT Leg Laboratory.
  73. ↑ Walking Robots
  74. ↑ "About the robots". Anybots. Archived from the original on 2007-09-09. Retrieved 2007-10-23.
  75. ↑ "Homepage". Anybots. Retrieved 2007-10-23.
  76. ↑ "Dexter Jumps video". YouTube. 2007-03-01. Retrieved 2007-10-23.
  77. ↑ Collins, Steve; Wisse, Martijn; Ruina, Andy; Tedrake, Russ (2005-02-11). "Efficient bipedal robots based on passive-dynamic Walkers" (PDF). Science. 307 (5712): 1082–1085. doi:10.1126/science.1107799. PMID 15718465. Archived from the original (PDF) on 2007-06-22. Retrieved 2007-09-11.
  78. ↑ Collins, Steve; Ruina, Andy. "A bipedal walking robot with efficient and human-like gait" (PDF). Proc. IEEE International Conference on Robotics and Automation.
  79. ↑ "Testing the Limits" (PDF). Boeing. p. 29. Retrieved 2008-04-09.
  80. ↑ Miller, Gavin. "Introduction". snakerobots.com. Retrieved 2007-10-22.
  81. ↑ ACM-R5
  82. ↑ Swimming snake robot (commentary in Japanese)
  83. ↑ "Commercialized Quadruped Walking Vehicle "TITAN VII"". Hirose Fukushima Robotics Lab. Retrieved 2007-10-23.
  84. ↑ "Plen, the robot that skates across your desk". SCI FI Tech. 2007-01-23. Retrieved 2007-10-23.
  85. ↑ Capuchin on YouTube
  86. ↑ Wallbot on YouTube
  87. ↑ Stanford University: Stickybot on YouTube
  88. ↑ Sfakiotakis; et al. (1999). "Review of Fish Swimming Modes for Aquatic Locomotion" (PDF). IEEE Journal of Oceanic Engineering. Archived from the original (PDF) on 2007-09-26. Retrieved 2007-10-24.
  89. ↑ Richard Mason. "What is the market for robot fish?".
  90. ↑ "Robotic fish powered by Gumstix PC and PIC". Human Centred Robotics Group at Essex University. Retrieved 2007-10-25.
  91. ↑ Witoon Juwarahawong. "Fish Robot". Institute of Field Robotics. Archived from the original on 2007-11-04. Retrieved 2007-10-25.
  92. ↑ youtube.com
  93. ↑ "iSplash-II: Realizing Fast Carangiform Swimming to Outperform a Real Fish" (PDF). Robotics Group at Essex University. Retrieved 2015-09-29.
  94. ↑ "iSplash-I: High Performance Swimming Motion of a Carangiform Robotic Fish with Full-Body Coordination" (PDF). Robotics Group at Essex University. Retrieved 2015-09-29.
  95. ↑ Jaulin, L.; Le Bars, F. (2012). "An interval approach for stability analysis; Application to sailboat robotics" (PDF). IEEE Transaction on Robotics. 27 (5).
  96. ↑ J. Norberto Pires, (2005). "Robot-by-voice: experiments on commanding an industrial robot using the human voice", Industrial Robot: An International Journal, Vol. 32, Issue 6, pp. 505–511, doi:10.1108/01439910510629244. Available: online and pdf
  97. ↑ Survey of the State of the Art in Human Language Technology: 1.2: Speech Recognition
  98. ↑ Fournier, Randolph Scott., and B. June. Schmidt. "Voice Input Technology: Learning Style and Attitude Toward Its Use." Delta Pi Epsilon Journal 37 (1995): 1_12.
  99. ↑ "History of Speech & Voice Recognition and Transcription Software". Dragon Naturally Speaking. Retrieved 2007-10-27.
  100. ↑ M.L. Walters, D.S. Syrdal, K.L. Koay, K. Dautenhahn, R. te Boekhorst, (2008). Human approach distances to a mechanical-looking robot with different robot voice styles. In: Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, 2008. RO-MAN 2008, Munich, 1–3 Aug. 2008, pp. 707–712, doi:10.1109/ROMAN.2008.4600750. Available: online and pdf
  101. ↑ Sandra Pauletto, Tristan Bowles, (2010). Designing the emotional content of a robotic speech signal. In: Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction with Sound, New York, ISBN 978-1-4503-0046-9, doi:10.1145/1859799.1859804. Available: online
  102. ↑ Tristan Bowles, Sandra Pauletto, (2010). Emotions in the Voice: Humanising a Robotic Voice. In: Proceedings of the 7th Sound and Music Computing Conference, Barcelona, Spain.
  103. ↑ Waldherr, Romero & Thrun (2000). "A Gesture Based Interface for Human-Robot Interaction" (PDF). Kluwer Academic Publishers. Retrieved 2007-10-28.
  104. ↑ Markus Kohler. "Vision Based Hand Gesture Recognition Systems". University of Dortmund. Retrieved 2007-10-28.
  105. ↑ Frubber facial expressions
  106. ↑ Nexi facial expressions
  107. ↑ "Kismet: Robot at MIT's AI Lab Interacts With Humans". Sam Ogden. Retrieved 2007-10-28.
  108. ↑ (Park et al. 2005) Synthetic Personality in Robots and its Effect on Human-Robot Relationship
  109. ↑ National Public Radio: Robot Receptionist Dishes Directions and Attitude
  110. ↑ New Scientist: A good robot has personality but not looks
  111. ↑ Caleb Chung: Playtime with Pleo, your robotic dinosaur friend | Talk Video | TED.com
  112. ↑ Jennifer Bogo (October 31, 2014). "Meet a woman who trains robots for a living".
  113. ↑ "A Ping-Pong-Playing Terminator". Popular Science.
  114. ↑ NOVA conversation with Professor Moravec, October, 1997. NOVA Online
  115. ↑ Sandhana, Lakshmi (2002-09-05). A Theory of Evolution, for Robots. Wired Magazine. Retrieved 2007-10-28.
  116. ↑ Experimental Evolution In Robots Probes The Emergence Of Biological Communication. Science Daily. 2007-02-24. Retrieved 2007-10-28.
  117. ↑ Žlajpah, Leon (2008-12-15). "Simulation in robotics". Mathematics and Computers in Simulation. 79 (4): 879–897. doi:10.1016/j.matcom.2008.02.017.
  118. ↑ The Latest Technology Research News: Evolution trains robot teams
  119. ↑ Agarwal, P.K. Elements of Physics XI. Rastogi Publications.
  120. ↑ "Career: Robotics Engineer". Princeton Review. 2012. Retrieved 2012-01-27.
  121. ↑ Saad, Ashraf; Kroutil, Ryan (2012). Hands-on Learning of Programming Concepts Using Robotics for Middle and High School Students. Proceedings of the 50th Annual Southeast Regional Conference of the Association for Computer Machinery. ACM. pp. 361–362. doi:10.1145/2184512.2184605.
  122. ↑ Scott, Michael; Counsell, Steve; Lauria, Stasha; Swift, Stephen; Tucker, Allan; Shepperd, Martin; Ghinea, Gheorghita (29 October 2015). "Enhancing Practice and Achievement in Introductory Programming with a Robot Olympics" (pdf). IEEE Transactions on Education. IEEE: 249–254. doi:10.1109/TE.2014.2382567. Retrieved January 1, 2016.
  123. ↑ I. Ben-Gal, Y. Bukchin, O. Goldstain (2007. "Remote learning for the manipulation and control of robotic cells" (PDF). European Journal of Engineering Education 32 (4), 481-494, 2007.
  124. ↑ "Robotics Degree Programs at Worcester Polytechnic Institute". Worcester Polytechnic Institute. 2013. Retrieved 2013-04-12.
  125. ↑ Education at American Museum of Natural History
  126. ↑ "B.E.S.T. Robotics".
  127. ↑ "LEGO® Building & Robotics After School Programs". Retrieved 5 November 2014.
  128. ↑ Toy, Tommy (June 29, 2011). "Outlook for robotics and Automation for 2011 and beyond are excellent says expert". PBT Consulting. Retrieved 2012-01-27.
  129. ↑ "Focal Points Seminar on review articles in the future of work - Safety and health at work - EU-OSHA". osha.europa.eu. Retrieved 2016-04-19.
  130. ↑ "Robotics: Redefining crime prevention, public safety and security". SourceSecurity.com.
  131. ↑ "Draft Standard for Intelligent Assist Devices — Personnel Safety Requirements"
  132. ↑ "ISO/TS 15066:2016 Robots and robotic devices -- Collaborative robots"

119. FLL. (2016, March 24). Retrieved March 25, 2016, from http://www.firstinspires.org/robotics/fll 120. Robotics Summer Camps. (n.d.). Retrieved March 25, 2016, from http://www.ourkids.net/robotics-camps.php 121. Practical Ed Tech Summer Camp. (2016). Retrieved March 25, 2016, from http://practicaledtech.com/practical-ed-tech-summer-camp 122. VEX Robotics Competitions. (2015). Retrieved March 25, 2016, from http://www.robotevents.com/robot-competitions/vex-robotics-competition?limit=500

Further reading

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