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List Of Robots
following outline is provided as an overview of and topical guide to robotics: Robotics is a branch of mechanical engineering, electrical engineering and computer science that deals with the design, construction, operation, and application of robots, as well as 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 environments or manufacturing processes, or resemble humans in appearance, behaviour, and or cognition. Many of today's robots are inspired by nature contributing to the field of bio-inspired robotics. The word "robot" was introduced to the public by Czech writer Karel Čapek in his play R.U.R. (Rossum's Universal Robots), published in 1920. The term "robotics" was coined by Isaac Asimov in his 1941 science fiction short-story " Liar!" Nature of robotics Robotics can be described as: * An applied science – scientific knowledge tran ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Android Science
Android science is an interdisciplinary framework for studying human interaction and cognition based on the premise that a very humanlike robot (that is, an android) can elicit human-directed social responses in human beings. The android's ability to elicit human-directed social responses enables researchers to employ an android in experiments with human participants as an apparatus that can be controlled more precisely than a human actor. While mechanical-looking robots may be able to elicit social responses to some extent, a robot that looks and acts like a human being is in a better position to stand in for a human actor in social, psychological, cognitive, or neuroscientific experiments. This gives experiments with androids a level of ecological validity with respect to human interaction found lacking in experiments with mechanical-looking robots. An experimental setting for human-android interaction also provides a testing ground for models concerning how cognitive or neural ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bionics
Bionics or biologically inspired engineering is the application of biological methods and systems found in nature to the study and design of engineering systems and modern technology. The word ''bionic'', coined by Jack E. Steele in August 1958, is a portmanteau from biology and electronics which was popularized by the 1970s U.S. television series ''The Six Million Dollar Man'' and ''The Bionic Woman'', both based on the novel ''Cyborg (novel), Cyborg'' by Martin Caidin. All three stories feature humans given various superhuman powers by their electromechanical implants. According to proponents of bionic technology, the technology transfer, transfer of technology between lifeforms and manufactured objects is desirable because evolutionary pressure typically forces living organisms—fauna and flora—to become optimized and efficient. For example, dirt- and water-repellent paint (coating) was inspired by the hydrophobic properties of the Nelumbo, lotus flower plant (the lotus e ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Biomimetic
Biomimetics or biomimicry is the emulation of the models, systems, and elements of nature for the purpose of solving complex human problems. The terms "biomimetics" and "biomimicry" are derived from (''bios''), life, and μίμησις ('' mīmēsis''), imitation, from μιμεῖσθαι (''mīmeisthai''), to imitate, from μῖμος (''mimos''), actor. A closely related field is bionics. Nature has gone through evolution over the 3.8 billion years since life is estimated to have appeared on the Earth. It has evolved species with high performance using commonly found materials. Surfaces of solids interact with other surfaces and the environment and derive the properties of materials. Biological materials are highly organized from the molecular to the nano-, micro-, and macroscales, often in a hierarchical manner with intricate nanoarchitecture that ultimately makes up a myriad of different functional elements. Properties of materials and surfaces result from a complex interpla ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bio-inspired Robotics
Bio-inspired robotic locomotion is a subcategory of bio-inspired design. It is about learning concepts from nature and applying them to the design of real-world engineered systems. More specifically, this field is about making robots that are inspired by Biology, biological systems, including Biomimicry. Biomimicry is copying from nature while bio-inspired design is learning from nature and making a mechanism that is simpler and more effective than the system observed in nature. Biomimicry has led to the development of a different branch of robotics called soft robotics. The biological systems have been optimized for specific tasks according to their habitat. However, they are multifunctional and are not designed for only one specific functionality. Bio-inspired robotics is about studying biological systems, and looking for the mechanisms that may solve a problem in the engineering field. The designer should then try to simplify and enhance that mechanism for the specific task of in ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Behavior Based AI
Behavior-based robotics (BBR) or behavioral robotics is an approach in robotics that focuses on robots that are able to exhibit complex-appearing behaviors despite little internal variable state to model its immediate environment, mostly gradually correcting its actions via sensory-motor links. Principles Behavior-based robotics sets itself apart from traditional artificial intelligence by using biological systems as a model. Classic artificial intelligence typically uses a set of steps to solve problems, it follows a path based on internal representations of events compared to the behavior-based approach. Rather than use preset calculations to tackle a situation, behavior-based robotics relies on adaptability. This advancement has allowed behavior-based robotics to become commonplace in researching and data gathering. Most behavior-based systems are also reactive, which means they need no programming of what a chair looks like, or what kind of surface the robot is moving on. I ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
BEAM Robotics
BEAM robotics (from biology, electronics, aesthetics and mechanics) is a style of robotics that primarily uses simple analogue circuits, such as comparators, instead of a microprocessor in order to produce an unusually simple design. While not as flexible as microprocessor based robotics, BEAM robotics can be robust and efficient in performing the task for which it was designed. BEAM robots may use a set of the analog circuits, mimicking biological neurons, to facilitate the robot's response to its working environment. Mechanisms and principles The basic BEAM principles focus on a stimulus-response based ability within a machine. The underlying mechanism was invented by Mark W. Tilden where the circuit (or a Nv net of Nv neurons) is used to simulate biological neuron behaviours. Some similar research was previously done by Ed Rietman in 'Experiments In Artificial Neural Networks'. Tilden's circuit is often compared to a shift register, but with several important features ma ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bayesian Network
A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). While it is one of several forms of causal notation, causal networks are special cases of Bayesian networks. Bayesian networks are ideal for taking an event that occurred and predicting the likelihood that any one of several possible known causes was the contributing factor. For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Efficient algorithms can perform inference and learning in Bayesian networks. Bayesian networks that model sequences of variables (''e.g.'' speech signals or protein sequences) are called dynamic Bayesian networks. Generalizations of Bayesian networks tha ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Autonomous Research Robot
The Denning Mobile Robot Company of Boston was the first company to offer ready-made autonomous robots that were subsequently purchased primarily by researchers. Grinnell More's Real World Interface, Inc. (RWI) and James Slater's Nomadic Technologies ( US), along with Francesco Mondada's K-Team (Switzerland), were other pioneering companies in this field, addressing the need for ready-made robots for use by robotics researchers. RWI created the B-21, Nomadic the XR4000, whilst the tiny Khepera mobile robot emerged from the stables of the Swiss K-Team. However, the high price of these machines meant that only a few graduate students and military researchers could afford them. Eventually, the low-cost Pioneer robot was introduced in 1995 (from a collaboration between RWI and ActivMedia Robotics), a project that expanded research in mobile robotics due to the affordable price. History By 1999, the Denning company was defunct. In 1998, RWI joined with ISRobotics to form iRobot. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Autonomous Car
A self-driving car, also known as an autonomous car (AC), driverless car, robotic car or robo-car, is a car that is capable of operating with reduced or no User input, human input. They are sometimes called robotaxi, robotaxis, though this term refers specifically to self-driving cars operated for a ridesharing company. Self-driving cars are responsible for all driving activities, such as perceiving the environment, monitoring important systems, and controlling the vehicle, which includes navigating from origin to destination. , no system has achieved full autonomy (SAE Level 5). In December 2020, Waymo was the first to offer rides in self-driving taxis to the public in limited geographic areas (SAE Level 4), and offers services in Arizona (Phoenix) and California (San Francisco and Los Angeles). In June 2024, after a Waymo self-driving taxi crashed into a utility pole in Phoenix, Arizona, all 672 of its Jaguar I-Pace vehicles were recalled after they were found to have susc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Artificial Neural Network
In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a computational model inspired by the structure and functions of biological neural networks. A neural network consists of connected units or nodes called '' artificial neurons'', which loosely model the neurons in the brain. Artificial neuron models that mimic biological neurons more closely have also been recently investigated and shown to significantly improve performance. These are connected by ''edges'', which model the synapses in the brain. Each artificial neuron receives signals from connected neurons, then processes them and sends a signal to other connected neurons. The "signal" is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs, called the '' activation function''. The strength of the signal at each connection is determined by a ''weight'', which adjusts during the learning process. Typically, ne ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
