Making at School: Challenges and Projects

Related lectures (32)

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Explores modern approaches and challenges in acquiring data for learning optimal controllers through demonstrations and data-driven methods.

Covers compliant and force control for robots using Dynamical Systems.

Explores a course where computer science students learn to work on projects involving physical artifacts and software development.

Explores learning, adaptive control, cutting soft tissue, and robotic implementation for robots.

Explores growth rate, uniform convergence, PAC learning, and distribution learning challenges.

Explores compliant control for robots through impedance and variable stiffness, enabling safe and adaptive interactions with the environment.

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

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

Explores case studies on learning theories, project-based learning, and peer feedback.

Explores diverse pedagogical design approaches and emphasizes the importance of diversity.