Cognitive robotics (CR) is concerned with endowing robots with high-level cognitive capabilities to enable the achievement of complex goals in complex environments using limited computational resources. Robotic cognitive capabilities include perception processing, attention allocation, anticipation, planning, reasoning about other agents, and reasoning about their own mental states. Robotic cognition embodies the behaviour of intelligent agents in the physical world (or a virtual world, in the case of simulated CR). For other uses, see robot (disambiguation). ... Simple reflex agent Learning agent The terms agent and intelligent agent are ambiguous and have been used in two different, but related senses, which are often confused. ...

A cognitive robot should exhibit:

• knowledge
• beliefs
• preferences
• goals
• informational attitudes
• motivational attitudes (observing, communicating, revising beliefs, planning)

Cognitive robotics involves the application and integration of various artificial intelligence disciplines, such as knowledge representation, automated reasoning and planning. It also involves the use of agent programming languages for defining transitions between mental states. This article needs additional references or sources for verification. ... An objective or goal is a personal or organizational desired end point in development. ... // Please note that this article was just recently created. ... Garry Kasparov playing against Deep Blue, the first machine to win a chess game against a reigning world champion. ... This article needs additional references or sources for verification. ... Reasoning is the mental (cognitive) process of looking for reasons to support beliefs, conclusions, actions or feelings. ... Look up agent in Wiktionary, the free dictionary. ... A programming language is an artificial language that can be used to control the behavior of a machine, particularly a computer. ... MENTAL STATE Listening to music by the North Carolina band Something For You can send a person or, in some extreme cases, another animal posessing ears into a strange mental state in which a pleasurable sense is sent to the ears. ...

A number of different methodologies can be adopted within cognitive robotics, including not only the approach of classical symbolic AI - emphasizing symbolic reasoning and representation - but also more biologically-inspired approaches that draw on neuroscience and studies of animal behaviour.

See also

• Agent environment
• Cognitive science
• Cybernetics
• Developmental robotics
• Embodied cognitive science
• Epigenetic robotics
• Evolutionary robotics
• Hybrid intelligent system
• Intelligent control
• Intelligent system

This atricle is related to software agents and intelligent agents. ... Cognitive science is usually defined as the scientific study either of mind or of intelligence (e. ... Cybernetics is the study of feedback and derived concepts such as communication and control in living organisms, machines and organisations. ... Developmental Robotics (DevRob), sometimes called epigenetic robotics, is a methodology that uses metaphors from developmental psychology to develop controllers for autonomous robots. ... Embodied Cognitive Science is an interdisciplinary field of research whose aim is to explain the mechanisms underlying intelligent behavior. ... Epigenetic Robotics is an interdiciplinary research area with the goal of understanding biological systems by the integration between neuroscience, developmental psychology and engineering sciences. ... Evolutionary Robotics (ER) is a methodology that uses evolutionary computation to develop controllers for autonomous robots. ... In software programming, hybrid intelligent system denotes a software system which employs, in parallel, a combination of AI models, methods and techniques from such artificial intelligence subfields as: Neuro-fuzzy programming Fuzzy expert systems Connectionist expert systems Evolutionary neural networks Genetic-Fuzzy-Neural Systems Genetic fuzzy systems (Michigan, Pitsburg, Incremental... All control techniques that use various soft computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, evolutionary computation and genetic algorithms can be put into the class of intelligent control. ... To meet Wikipedias quality standards, this article may require cleanup. ...

References

• Intelligent Systems Group - University of Utrecht
• The Cognitive Robotics Group - University of Toronto
• Cognitive Robotics Lab of Juergen Schmidhuber at IDSIA and Technical University of Munich
• What Does the Future Hold for Cognitive Robots? - Idaho National Laboratory
• Cognitive Robotics at the Naval Research Laboratory
• Cognitive robotics at ENSTA autonomous embodied systems, evolving in complex and non-constraint environments, using mainly vision as sensor.
• The Center for Intelligent Systems - Vanderbilt University

Jürgen Schmidhuber (born 1963 in Munich) is a computer scientist and artist known for his work on machine learning, universal Artificial Intelligence (AI), artificial neural networks, digital physics, and low-complexity art. ... The Swiss institute for Artificial Intelligence IDSIA (Istituto Dalle Molle di Studi sullIntelligenza Artificiale) was founded in 1988 by the private Dalle Molle foundation. ... Munich University of Technology, or Technical University of Munich (TUM) (in German: Technische Universität München, TUM), is a major German university located in Munich (and the towns of Garching and Freising outside of Munich). ...

External Links

• Institute of Robotics in Scandinavia AB (iRobis)
• RoboBusiness: Robots that Dream of Being Better
• www.Conscious-Robots.com