Lectures related to Introduction to Chapter 3

Explores how people learn and generalize fingertip force coordination patterns.

Covers recent advances in structural learning for graphical models, including Gaussian models, mixed models, and extreme events.

Explores learning methods, effect sizes, and cognitive assessment in education.

Covers compliant and force control for robots using Dynamical Systems.

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

Covers the programming of GUI elements using Matlab/Octave, including user interaction and file handling.

Shares impactful anecdotes from educational robotics experiences, showcasing student re-engagement and teacher surprise during a robotics festival.

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

Emphasizes how pedagogical choices are embedded in technological details.