2 papers
cs.RO2026
CAHC:A General Conflict-Aware Heuristic Caching Framework for Multi-Agent Path Finding
HT To, S Nguyen, NH Pham
Multi-Agent Path Finding (MAPF) algorithms, including those for car-like robots and grid-based scenarios, face significant computational challenges due to expensive heuristic calcu…
cs.RO2025
The Emergence of Deep Reinforcement Learning for Path Planning
Thanh Thi Nguyen, Saeid Nahavandi, Imran Razzak +3
The increasing demand for autonomous systems in complex and dynamic environments has driven significant research into intelligent path planning methodologies. For decades, graph-ba…