Safe Learning in Robotics: Quo Vadis?

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Related lectures (31)

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Computational Robot Design: Morphological Intelligence and Simulation

Explores computational robot design, morphological intelligence, simulation, and innovative contact dynamics solutions.

Learning and Adaptive Control for Robots: Overview and Path Planning

Explores learning and adaptive control for robots, focusing on challenges, path planning with dynamical systems, and real-time planning applications.

Obstacle Avoidance with DS

Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.

Robot Control: Tuning PID Parameters

Explores the impact of P, D, and I parameters on robotics control, including gains, encoders, tuning PID parameters, and control strategies.

Robotics Basics: Definitions and Applications

Introduces the basics of robotics, covering definitions, classifications, and statistics, and explores the evolution and applications of different types of robots.

Learning and Adaptive Control for Robots: SEDS & LPV-DS

Explores learning and adaptive control for robots through SEDS and LPV-DS, emphasizing stability, non-linear dynamics, and optimization.

Infinite-Horizon LQ Control: Solution & Example

Explores Infinite-Horizon Linear Quadratic (LQ) optimal control, emphasizing solution methods and practical examples.

Robot Control: Strategies and Controllers

Explores robot control strategies, decentralized controllers, and the role of P, PD, and PID controllers in position control of DC motors.

State-Space Representation: Controllability and Observability

Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.

Robot Manipulation Control

Explores control strategies for robot manipulation, covering decentralized controllers, second-order systems, and P, PD, and PID controllers.