Toward Kinematic Actionable Infeasibility Detection in Motion Planning
A geometry-driven framework for certifying infeasibility through an explicit resolution-dependent analysis of configuration space topology is presented, and a parallel frontier-expansion algorithm that exploits GPU acceleration for efficient simplicial reconstruction in high-dimensional spaces is developed.