Gonzalo Palomares

Control Inference Neural Network for Motion Planning With Dynamical Systems

This letter proposes an approach that combines the use of sampling-based motion planning with machine learning algorithms. In particular, the asymptotically optimal planner <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SST*</i> is used to generate