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Subsumption architecture attacks the problem of intelligence from a significantly different perspective than traditional AI. Disappointed with the performance of Shakey the robot and similar conscious mind representation-inspired projects, Rodney Brooks started creating robots based on a different notion of intelligence, resembling unconscious mind processes.
Degrees of freedom - the extent to which a robot can move itself; expressed in terms of Cartesian coordinates (x, y, and z) and angular movements (yaw, pitch, and roll). [3] Delta robot - a tripod linkage, used to construct fast-acting manipulators with a wide range of movement. Drive Power - The energy source or sources for the robot actuators ...
Allen was a robot introduced by Rodney Brooks and his team in the late 1980s, and was their first robot based on subsumption architecture. It had sonar distance and odometry on board, and used an offboard lisp machine to simulate subsumption architecture. It resembled a footstool on wheels. [1]
Subsumption architecture in robotics; A subsumption relation in category theory, semantic networks and linguistics, also known as a "hyponym-hypernym relationship" (Is-a) Formal and real capitalist subsumption describes different processes whereby capital comes to dominate an economic process. Coined in Karl Marx's Capital, Volume I
A behavior tree is graphically represented as a directed tree in which the nodes are classified as root, control flow nodes, or execution nodes (tasks). For each pair of connected nodes the outgoing node is called parent and the incoming node is called child.
In robotics, a robotic paradigm is a mental model of how a robot operates. A robotic paradigm can be described by the relationship between the three basic elements of robotics: Sensing, Planning, and Acting.
knowledge-based: refers only to the system's architecture – it represents knowledge explicitly, rather than as procedural code Today, virtually all expert systems are knowledge-based, whereas knowledge-based system architecture is used in a wide range of types of system designed for a variety of tasks.
Moravec's paradox is the observation in the fields of artificial intelligence and robotics that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception skills require enormous computational resources.