Efficient Motion Planning for Manipulators using Control Barrier Function-Induced Neural Controller

This work presents a control barrier function-induced neural controller (CBF-INC) that can be integrated into sampling-based motion planning algorithms to efficiently explore the configuration space while ensuring safety.