Stochastic Neural Signed Swept Volume for Real-time Chance-Constrained Trajectory Optimization

Collision-free motion planning requires reliable collision models from sensed environments and validation of states along a continuous trajectory. To make this tractable, most planners check for collision at discrete states along continuous trajectories against a single determinized model of the env