Knowledge Representation and Reasoning by Michael Beetz shows how robots can turn vague instructions into smart, adaptive actions. Instead of hard-coded routines, they use knowledge models and reasoning methods to decide what to do, how to do it, and how to recover when things go wrong.
This book is the book 21 of the series 'Cognitive Robotics' .With real examples like table setting and pouring, the book explains why everyday tasks are hard for robots and how structured knowledge and inference make them possible. Readers learn how action plans, rules, and commonsense reasoning give robots the flexibility to work in new and unpredictable situations.
Practical and forward-looking, Knowledge Representation and Reasoning is a must-read for anyone interested in AI, robotics, and the future of intelligent machines that can think and act in the real world.