Dual Process Motion Planning
This work introduces a dual-process architecture that combines the strengths of robust reasoning and learning in a neuro-symbolic perspective on nonlinear motion planning and suggests that tightly coupling learning with structured reasoning offers a scalable path toward more capable and adaptive robotic systems.