Genghis was a six legged insect-like robot that was created by roboticist Rodney Brooks at MIT around 1991. Brooks wanted to solve the problem of how to make robots intelligent and suggested that it is possible to create robots that displayed intelligence by using a "subsumption architecture" which is a type of reactive robotic architecture where a robot can react to the world around them. [1] His paper "Intelligence Without Representation", which is still widely respected in the fields of robotics and Artificial Intelligence, further outlines his theories on this.
The design of the Genghis robot was inspired by insects who have limited brain functions yet possess tremendous functionality. In order to mimic this trait found in insects Brooks "removed all cognition processors from Genghis and left only the sensors and the code/hardware to allow it to walk". [2] This enabled Genghis to link sensation to an action taken where the robot did not have any pre-planned path to follow but took action as each sensor detected an obstacle. With Genghis, Brooks pioneered his "sensation-action theory of intelligence which was to bypass explicit cognition hubs in favor of pairing perception more directly with action". [2]
Genghis was not designed to have a central controller to direct all possible functions in the robot, particularly in the legs. Instead, each leg had its own built-in sensors that would sense the various obstacles in its path. Each leg was programmed with a few basic behaviors and knew how to react under different scenarios based on sensor feedback. The act of walking became a coordinated effort between all of the legs resulting in the robots movement. These processes exist independently, run at all times and fire whenever the sensory preconditions are true. [1]
Genghis was designed to navigate difficult terrain with many obstacles and elevations. In order to achieve this type of functionality while reducing overall complexity Brooks created a method of finite state machine thought which relied on "layered processing"; a basic layering of new traits over older ones. [2] In Genghis the control system was organized into "eight incremental layers: Stand up, Simple Walk, Force Balancing, Leg Lifting, Whiskers, Pitch Stabilization, Prowling and Steered Prowling". [1] On a processing level the complexity of each of the eight layers of the final movement are addressed separately by each layer, reducing the burden of complex processing from the processors at each level. [2]
Genghis now resides in the Smithsonian Air and Space Museum.
Subsumption architecture is a reactive robotic architecture heavily associated with behavior-based robotics which was very popular in the 1980s and 90s. The term was introduced by Rodney Brooks and colleagues in 1986. Subsumption has been widely influential in autonomous robotics and elsewhere in real-time AI.
Cog was a project at the Humanoid Robotics Group of the Massachusetts Institute of Technology. It was based on the hypothesis that human-level intelligence requires gaining experience from interacting with humans, like human infants do. This in turn required many interactions with humans over a long period. Because Cog's behavior responded to what humans would consider appropriate and socially salient environmental stimuli, the robot was expected to act more human. This behavior also provided the robot with a better context for deciphering and imitating human behavior. This was intended to allow the robot to learn socially, as humans do.
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Rodney Allen Brooks is an Australian roboticist, Fellow of the Australian Academy of Science, author, and robotics entrepreneur, most known for popularizing the actionist approach to robotics. He was a Panasonic Professor of Robotics at the Massachusetts Institute of Technology and former director of the MIT Computer Science and Artificial Intelligence Laboratory. He is a founder and former Chief Technical Officer of iRobot and co-founder, Chairman and Chief Technical Officer of Rethink Robotics and is the co-founder and Chief Technical Officer of Robust.AI.
Embodied cognitive science is an interdisciplinary field of research, the aim of which is to explain the mechanisms underlying intelligent behavior. It comprises three main methodologies: the modeling of psychological and biological systems in a holistic manner that considers the mind and body as a single entity; the formation of a common set of general principles of intelligent behavior; and the experimental use of robotic agents in controlled environments.
Adaptable Robotics refers to a field of robotics with a focus on creating robotic systems capable of adjusting their hardware and software components to perform a wide range of tasks while adapting to varying environments. The 1960s introduced robotics into the industrial field. Since then, the need to make robots with new forms of actuation, adaptability, sensing and perception, and even the ability to learn stemmed the field of adaptable robotics. Significant developments such as the PUMA robot, manipulation research, soft robotics, swarm robotics, AI, cobots, bio-inspired approaches, and more ongoing research have advanced the adaptable robotics field tremendously. Adaptable robots are usually associated with their development kit, typically used to create autonomous mobile robots. In some cases, an adaptable kit will still be functional even when certain components break.
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Nouvelle artificial intelligence (AI) is an approach to artificial intelligence pioneered in the 1980s by Rodney Brooks, who was then part of MIT artificial intelligence laboratory. Nouvelle AI differs from classical AI by aiming to produce robots with intelligence levels similar to insects. Researchers believe that intelligence can emerge organically from simple behaviors as these intelligences interacted with the "real world", instead of using the constructed worlds which symbolic AIs typically needed to have programmed into them.
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Robotics is the interdisciplinary study and practice of the design, construction, operation, and use of robots.
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The following outline is provided as an overview of and topical guide to robotics:
In artificial intelligence research, the situated approach builds agents that are designed to behave effectively successfully in their environment. This requires designing AI "from the bottom-up" by focussing on the basic perceptual and motor skills required to survive. The situated approach gives a much lower priority to abstract reasoning or problem-solving skills.
LAURON is a six-legged walking robot, which is being developed at the FZI Forschungszentrum Informatik in Germany. The mechanics and the movements of the robot are biologically-inspired, mimicking the stick insect Carausius Morosus. The development of the LAURON walking robot started with basic research in field of six-legged locomotion in the early 1990s and led to the first robot, called LAURON. In the year 1994, this robot was presented to public at the CeBIT in Hanover. This first LAURON generation was, in contrast to the current generation, controlled by an artificial neural network, hence the robot's German name: LAUfROboter Neuronal gesteuert. The current generation LARUON V was finished in 2013.
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