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

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.