Lecture
This lecture presents CALIPSO, a differentiable solver for trajectory optimization with conic and complementarity constraints, discussing the challenges in robotics, existing tools, primal-dual and augmented Lagrangian methods, interior-point cone programming, and examples like ball-in-cup and quadruped gait.