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Safe Learning for Robotics

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Related lectures (31)

Controlled Stochastic Processes Log in to Mediaspace to watch this video

Explores controlled stochastic processes, focusing on analysis, behavior, and optimization, using dynamic programming to solve real-world problems.

Learning and Control for Complex Systems Log in to Mediaspace to watch this video

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

Stability of ODE Log in to Mediaspace to watch this video

Explores the stability of Ordinary Differential Equations, focusing on solution dependence, critical data, linearization, and control of nonlinear systems.

Control Theory Fundamentals Log in to Mediaspace to watch this video

Introduces control theory fundamentals, including controllability and invertibility of systems.

Nonlinear Model Predictive Control Log in to Mediaspace to watch this video

Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

Optimal Control Theory: OCPs Log in to Mediaspace to watch this video

Covers Optimal Control Theory, focusing on Optimal Control Problems (OCPs) and the calculus of variations.

Optimal Control Theory: Basics Log in to Mediaspace to watch this video

Covers the fundamentals of optimal control theory, focusing on defining OCPs, existence of solutions, performance criteria, physical constraints, and the principle of optimality.

Optimal Control: NMPC Log in to Mediaspace to watch this video

Covers Nonlinear Model Predictive Control (NMPC) principles, including setpoint stabilization and Pontryagin's Maximum Principle.

Control Theory Fundamentals Log in to Mediaspace to watch this video

Covers the basic concepts of control theory and the selection of optimal controls.

Model-Free Prediction in Reinforcement Learning: Key Methods Log in to Mediaspace to watch this video

Covers model-free prediction methods in reinforcement learning, focusing on Monte Carlo and Temporal Differences for estimating value functions without transition dynamics knowledge.

Project-Based Learning in Communications and Robotics Log in to Mediaspace to watch this video

Introduces a project-based course in communications and robotics, emphasizing practical projects and independent learning to prepare students for real-world challenges.

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