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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).
A cognitive robot should exhibit:
- 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.
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.
- Agent environment
- Cognitive science
- Developmental robotics
- Embodied cognitive science
- Epigenetic robotics
- Evolutionary robotics
- Hybrid intelligent system
- Intelligent control
- Intelligent system
- Intelligent Systems Group - University of Utrecht
- The Cognitive Robotics Group - University of Toronto
- 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.
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