Hybrid path planning for industrial autonomous vehicles: Integrating neural heuristics with energy-constrained search
Energy-aware path planning for industrial autonomous vehicles requires more than a geometric shortest path: terrain, payload, drivetrain efficiency, turning, and a hard task-level energy budget jointly affect feasibility. We present Neuro-PathNet-EC, a physics-aware constrained planner with learned multimodal guidance....