Lecture
Hybrid Quadratic Programming: Dynamical Systems Control
Description
This lecture covers the concept of Hybrid Quadratic Programming in the context of Dynamical Systems Control, focusing on robot control approaches, closed-form approach, geometric DS, reactive control, obstacle avoidance, sub-manifold motion, and torque control. The instructor discusses iterative and model predictive control, state constraints, joint space state, task space state, control structure, metric tensor, pullback bundle dynamical systems, and quadratic programming controllers.
Official source
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