Behavior Based Robotics

“Behavior Based Robotics” is an essential guide for anyone looking to delve into the dynamic intersection of robotics and cognitive science. Authored by Fouad Sabry, this book offers a comprehensive exploration of behaviorbased approaches to robotics, providing insights that bridge theoretical concepts with practical applications. Whether you're a professional in the field, a graduate or undergraduate student, or an enthusiastic hobbyist, this book serves as a valuable resource that enhances your understanding of robotics in today's rapidly evolving technological landscape.

Chapters Brief Overview:

1: Behaviorbased robotics: Introduces the principles that guide behaviorbased 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.

This book is more than a guide; it is an investment in understanding the future of robotics. By reading “Behavior Based Robotics,” you equip yourself with knowledge that transcends the cost of the book, enhancing your professional skills and fueling your passion for robotics. Prepare to engage with the principles that shape intelligent machines today and tomorrow.