Subsumption Architecture

Delve into the intricate world of robotics with “Subsumption Architecture,” a pivotal work that unveils the groundbreaking principles driving modern robotic systems. This book provides professionals, students, and enthusiasts with a comprehensive understanding of robotic behavior and its implications in artificial intelligence. By exploring the synergy between subsumption architecture and behaviorbased robotics, readers will grasp how these concepts can redefine technological applications and enhance our interaction with machines.

Chapters Brief Overview:

1: Subsumption architecture: A foundational concept for building autonomous robots.

2: Symbolic artificial intelligence: Examines logicbased systems that support reasoning.

3: Behaviorbased robotics: Focuses on the design of robots that mimic natural behavior.

4: Rodney Brooks: Highlights contributions of this pioneer in robotics and AI.

5: Decentralised system: Discusses the advantages of distributed control in robotics.

6: Modelbased reasoning: Explores reasoning techniques to enhance robot decisionmaking.

7: Cognitive robotics: Introduces robots that learn and adapt from their environment.

8: Action selection: Investigates methods for determining the best course of action.

9: Adaptable robotics: Discusses robots that can modify their behavior in realtime.

10: Nouvelle AI: Covers modern approaches and innovations in artificial intelligence.

11: Hierarchical control system: Describes structured systems for managing robot actions.

12: Allen (robot): Analyzes the design and functionality of the Allen robot.

13: MIBE architecture: Discusses a multilayered approach to robotic behavior.

14: 4DRCS Reference Model Architecture: Presents a framework for understanding robotic systems.

15: Realtime Control System: Examines the importance of realtime responses in robotics.

16: Situated approach (artificial intelligence): Explores contextaware AI in robotics.

17: Winnertakeall in action selection: Highlights competitive decisionmaking strategies.

18: Behavior tree (artificial intelligence, robotics and control): Discusses decisionmaking structures.

19: Genghis (robot): Details the innovative features of the Genghis robot.

20: Artificial intelligence: Explores the broad spectrum and applications of AI in robotics.

21: Expert system: Examines systems that emulate human expertise in problemsolving.

This book is not just a text; it's a gateway to understanding the future of robotics and AI. The insights and knowledge contained within will empower readers to innovate and excel in a rapidly evolving field. Embrace this opportunity to expand your knowledge and enhance your expertise in Robotics Science.