Behavior Based Robotics: Designing Intelligent Systems for Adaptive Learning and Interaction

· Robotics Science Cartea 12 · One Billion Knowledgeable
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1: Behaviorbased robotics: Introduces the principles that guide behavior based systems in robotics.

2: Subsumption architecture: Explores a layered architecture for building complex robotic behaviors.


3: BEAM robotics: Discusses simple, efficient robots designed to mimic biological behaviors.


4: Bioinspired computing: Examines how biological systems inspire computational approaches in robotics.


5: Luc Steels: Highlights contributions to robotics and language evolution from this key researcher.


6: Social simulation: Investigates how social interactions among agents inform behaviorbased designs.


7: Rodney Brooks: Covers the revolutionary ideas brought forth by this pioneer in robotics.


8: Simultaneous localization and mapping: Explains methods for a robot to navigate and map environments.


9: Multiagent system: Discusses systems where multiple robots interact and collaborate.


10: Physical symbol system: Explores how physical entities can manipulate symbols for problemsolving.


11: Modelbased reasoning: Analyzes reasoning processes in robots using internal models of the environment.


12: Intelligent agent: Defines agents capable of autonomous action in dynamic environments.


13: Embodied cognitive science: Connects physical embodiment and cognitive processes in robotics.


14: Nouvelle AI: Introduces new artificial intelligence approaches influencing behaviorbased robotics.


15: Activity recognition: Discusses techniques for robots to recognize and respond to human activities.


16: Apprenticeship learning: Explores how robots can learn from observing others.


17: Situated approach (artificial intelligence): Emphasizes the importance of context in AI decisionmaking.


18: Winnertakeall in action selection: Explains decisionmaking processes in competitive environments.


19: Elmer and Elsie (robots): Case study of specific robots showcasing behaviorbased principles.


20: Symbolic artificial intelligence: Examines the role of symbols in the cognitive abilities of robots.


21: Decentralised system: Discusses the advantages of decentralized architectures in robotic systems.

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