Assuring Safe Operation of Robotic Systems under Uncertainty

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 ...