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  • ASSURING SAFE OPERATION OF ROBOTIC SYSTEMS UNDER UNCERTAINTY
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    ASSURING SAFE OPERATION OF ROBOTIC SYSTEMS UNDER UNCERTAINTY
    CONG LI / YONGCHAO WANG / FANGZHOU LIU / XINGLONG ZHANG
    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...

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