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CRC Press Assuring Safe Operation of Robotic Systems under Uncertainty: Control and Learning Methods

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£93.79 £77.87 £81.35 £84.82 £88.29 £91.76 £95.24 25 July 2026 08 August 2026 22 August 2026 05 September 2026 19 September 2026
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Description

Assuring Safe Operation of Robotic Systems under Uncertainty: Control and Learning Methods applies set-theoretic and reinforcement learning approaches to formulate, analyze, and solve the challenge of ensuring safe operation of robotic systems in an uncertain environment. The authors adopt learning-supported, set-theoretic methods―specifically, the barrier Lyapunov function and the control barrier function―to achieve desirable robust safety with guaranteed performance in continuous-time nonlinear control applications. They also combine reinforcement learning with control theory to ensure safe learning and optimization. The reinforcement learning-based optimization framework incorporates safety and robustness guarantees by applying theoretical analysis tools from the field of control. This book will be of interest to researchers, engineers, and students specializing in robot planning and control.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 November 2025
Listed Since
18 July 2025

Barcode

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