Erhältlich:
Nicht auf Lager
Buch (Softcover): Fachbuch
Reinforcement Learning in Robotics
Training Physical Robots to Learn How to Walk, Grab, and Navigate Through Trial and Error
Verlag:
Independently Published Unsere-Artikel-Nr.: P36816323
EAN: 9798190648027
Erhältlich:
Nicht auf Lager
Zustellung: Do, 12.11.2026
Versand: Kostenlos
CHF 33.75
Beschreibung
How do robots learn to walk, balance, grasp objects, and move through unpredictable environments. The answer lies in reinforcement learning. , a powerful branch of artificial intelligence that enables machines to improve their behavior through experience, feedback, and trial-and-error learning. Reinforcement Learning in Robotics. provides a practical introduction to how autonomous robots use learning algorithms to develop intelligent movement and decision-making abilities. From robotic locomotion and manipulation to navigation and real-world interaction, this book explains the principles behind training robots that can adapt, improve, and operate in complex environments. Inside this book, you will discover:. The foundations of reinforcement learning and how robots learn from rewards and feedback. How robotic agents interact with environments and optimize actions through experience. The role of Markov Decision Processes, policies, value functions, and reward design. Deep reinforcement learning methods used in modern robotic systems. How robots learn walking patterns, balance control, and adaptive locomotion. Training robotic arms to grasp, manipulate, and handle objects effectively. Navigation techniques for mobile robots operating in uncertain environments. Simulation-based training using robotics platforms before deployment on physical hardware. Challenges of applying reinforcement learning to real-world robots, including safety, efficiency, and hardware limitations. Future applications of intelligent robots in manufacturing, healthcare, exploration, and autonomous systems. Whether you are a robotics student, engineer, AI enthusiast, researcher, or developer exploring autonomous machines, this book offers a clear pathway into one of the most exciting areas of modern robotics. By combining artificial intelligence with physical systems, reinforcement learning is transforming robots from programmed machines into adaptive learners. This book will help you understand the technologies shaping the next generation of intelligent robotic systems.
Spezifikationen
Sprache
- Englisch
Autor
- Nathan Westwood
Erscheinungsjahr
- 2026
Format
- Buch (Softcover)
Anzahl Seiten
- 174