Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Trajectory Optimization
Stanford Online · 74:40
This lecture frames robot trajectory optimization as finding a feasible (and optionally cost-optimal) time history of states and controls from an initial pose to a desired final pose, then argues that differential fla...