The Shadow robot hand system Robotics is the branch of technology that deals with the design, construction, operation, development and application of robots  and computer systems for their control, sensory feedback, and information processing. These technologies deal with automated machines that can take the place of humans, in dangerous or manufacturing processes, or simply just resemble humans. Many of today’s robots are inspired by nature contributing to the field of bio-inspired robotics.
The concept in creation of machines that could 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.
 Throughout history, robotics has been often seen to mimic human behavior, and often manage tasks in a similar fashion. Today, robotics is a rapidly growing field, as technological advances continue, research, design, and building new robots serve various practical purposes, whether domestically, commercially, or militarily.
Many robots do jobs that are hazardous to people such as defusing bombs, exploring shipwrecks, and mines.
Contents [hide] * 1 Etymology * 2 Components * 2. 1 Power source * 2. 2 Actuation * 2. 3 Sensing * 2. 4 Manipulation * 2. 5 Locomotion * 2. 6 Environmental interaction and navigation * 2. 7 Human-robot interaction * 3 Control * 3. 1 Autonomy levels * 4 Robotics research * 4. 1 Dynamics and kinematics * 5 Education and training * 5. 1 Career training * 5. 2 Certification * 5. Summer robotics camp * 5. 4 Robotics afterschool programs * 6 Employment * 7 See also * 8 References * 9 Bibliography * 10 Further reading * 11 External links| ————————————————- Etymology The word robotics was derived from the word robot, which was introduced to the public by Czech writer Karel Capek in his play R. U. R. (Rossum’s Universal Robots), which premiered in 1921. The word robot comes from the Slavic word robota, which is used to refer forced labor.
According to he 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] However, the original publication of “Liar! ” predates that of “Runaround” by five months, so the former is generally cited as the word’s origin. The word robot was introduced to the public by the Czech writer Karel Capek in his play R. U. R. (Rossum’s Universal Robots), published in 1920.  The play begins in a factory that makes artificial people called robots creatures who can be mistaken for humans – though they are closer to the modern ideas of androids.
Karel Capek 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 Capek as its actual originator.  In 1927 the Maschinenmensch (“machine-human”) gynoid humanoid robot (also called “Parody”, “Futura”, “Robotrix”, or the “Maria impersonator”) was the first and perhaps the most memorable depiction of a robot ever to appear on film was played by German actress Brigitte Helm in Fritz Lang’s film Metropolis.
In 1942 the science fiction writer Isaac Asimov formulated his Three Laws of Robotics and, in the process of doing so, coined the word “robotics” (see details in “Etymology” section above). In 1948 Norbert Wiener formulated the principles of cybernetics, the basis of practical robotics. Fully autonomous robots 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, or more accurately and reliably, than humans. They are also employed in 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.  Date| Significance| Robot Name| Inventor| Third century B. C. nd 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. | | Yan Shi| 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. 20 B. C. E| A wooden, steam propelled bird, which was able to fly| | Archytas of Tarentum| 1206| Created early humanoid automata, programmable automaton band| Robot band, hand-washing automaton, automated moving peacocks| 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 Capek| 1930s| Humanoid robot exhibited at the 1939 and 1940 World’s Fairs| Elektro| Westinghouse Electric Corporation| 1948| Simple robots exhibiting biological behaviors| 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| Unimate| George Devol| 1961| First installed industrial robot. Unimate| George Devol| 1973| First industrial robot with six electromechanically driven axes| 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 roduct| PUMA| Victor Scheinman| 2004| Launch of IRC5, which set new standards with its modular concept, a completely new ergonomically-designed Windows CEinterface unit (touch screen) to speed up programming. | IRC5| ABB Robot Group| ————————————————- 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 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 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.  Potential power sources could be: * pneumatic (compressed gases) * hydraulics (liquids) * flywheel energy storage * organic garbage (through anaerobic digestion) faeces (human, animal); may be interesting in a military context as faeces of small combat groups may be reused for the energy requirements of the robot assistant (see DEKA’s project Slingshot Stirling engine on how the system would operate) Actuation Main article: Actuator A robotic leg powered by air muscles Actuators are like the “muscles” of a robot, the parts which convert stored energy into movement. By far the most popular actuators are electric motors that spin a wheel or gear, and linear actuators that control industrial robots in factories.
But 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 CNCmachines. 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 Main article: Series elastic actuator A spring can be designed as part of the motor actuator, to allow improved force control. It has been used in various robots, particularly walkinghumanoid robots.  Air muscles
Main article: Pneumatic artificial muscles Pneumatic artificial muscles, also known as air muscles, are special tubes that contract (typically up to 40%) when air is forced inside them. They have been used for some robot applications.  Muscle wire Main article: Shape memory alloy Muscle wire, also known as Shape Memory Alloy, Nitinol or Flexinol Wire, is a material that contracts slightly (typically under 5%) when electricity runs through it. They have been used for some small robot applications.  Electroactive polymers
Main article: 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,and to allow new robots to float, fly, swim or walk.  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 walk the motor in a circle or a straight line.  Another type uses the piezo elements to cause a nut to vibrate and drive a screw. The advantages of these motors are nanometer resolution, speed, and available force for their size.  These motors are already available commercially, and being used on some robots.  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.  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. 29] 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 akeyboard, play piano and perform other fine movements. The prosthesis has sensors which enable the patient to sense real feeling in its fingertips.  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 afoundry 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, while the “arm” is referred to as a manipulator.  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. For the definitive guide to all forms of robot end-effectors, their design, and usage consult the book “Robot Grippers”.  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. 35] Hands that resemble and work more like a human hand include the Shadow Hand, the Robonaut hand, … Hands that are of a mid-level complexity include the Delft hand.  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 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, and the Schunk hand.  These are highly dexterous manipulators, with as many as 20degrees of freedom and hundreds of tactile sensors.  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 opposite direction, to counterbalance the fall at hundreds of times per second, based on the dynamics of an inverted pendulum. 43] Many different balancing robots have been designed.  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.  One-wheeled balancing robots Main article: Self-balancing unicycle 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”.  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.  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, or by rotating the outer shells of the sphere. 50] These have also been referred to as an orb bot  or a ball bot.  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”.  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.  Many other robots have been built that walk on more than two legs, due to these robots being significantly easier to construct. 57] 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 nomoment (force causing the robot to rotate and fall over).  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. 60] 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. 63] Soon, the algorithm was generalised to two and four legs. A bipedal robot was demonstrated running and even performing somersaults.  A quadruped was also demonstrated which could trot, run,pace, and bound.  For a full list of these robots, see the MIT Leg Lab Robots page. 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. 66] This technique was recently demonstrated by Anybots’ Dexter Robot, which is so stable, it can even jump.  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.  Other methods of locomotion Flying 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.  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. Two robot snakes. Left one has 64 motors (with 2 degrees of freedom per segment), the right one 10. 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.  The Japanese ACM-R5 snake robot can even navigate both on land and in water.  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.  Another robot, Plen, can use a miniature skateboard or roller-skates, and skate across a desktop. 76] 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, built by 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  and Stickybot. 79] China’s “Technology Daily” November 15, 2008 reported New Concept Aircraft (ZHUHAI) Co. , Ltd. Dr. Li Hiu Yeung and his research group have recently successfully developed the bionic gecko robot “Speedy Freelander”. According to Dr. Li introduction, this gecko robot can rapidly climbing up and down in a variety of building walls, ground and vertical wall fissure or walking upside down on the ceiling, it is able to adapt on smooth glass, rough or sticky dust walls as well as the various surface of metallic materials and also can automatically identify obstacles, circumvent the bypass and flexible and realistic movements.
Its flexibility and speed are comparable to the natural gecko. A third approach is to mimic the motion of a snake climbing a pole. Swimming (Piscine) It is calculated that when swimming some fish can achieve a propulsive efficiency greater than 90%.  Furthermore, they can accelerate and maneuver far better than any man-made boat orsubmarine, and produce less noise and water disturbance. Therefore, many researchers studying underwater robots would like to copy this type of locomotion. 81] Notable examples are the Essex University Computer Science Robotic Fish, and the Robot Tuna built by the Institute of Field Robotics, to analyze and mathematically model thunniform motion.  The Aqua Penguin, 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. Environmental interaction and navigation Main article: Robotic mapping RADAR, GPS, LIDAR, … re all combined to provide proper navigation and obstacle avoidance (vehicle developed for 2007 DARPA Urban Challenge) | This section does not cite any references or sources. Please help improve this section by adding citations to reliable sources. Unsourced material may be challenged and removed. (July 2009)| 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 Meinu 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 withradar, sometimes combined with other sensory data such as LIDAR, video cameras, and inertial guidance systems for better navigation between waypoints. Human-robot interaction Main article: Human-robot interaction Kismet can produce a range of facial expressions. 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. 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. 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.  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. 86] Currently, the best systems can recognize continuous, natural speech, up to 160 words per minute, with an accuracy of 95%.  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, making it necessary to develop the emotional component of robotic voice through various techniques.  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.  A great many systems have been developed to recognize human hand gestures.  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).  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 can produce a range of facial expressions, allowing it to have meaningful social exchanges with humans.  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, somethi