TMG-MADRL: a transformer-based meta-graph multi-agent deep reinforcement learning framework for robot path planning in dynamic environments
Robot path planning in dynamic environments is a critical research domain in autonomous robotics, focusing on safe and efficient navigation under uncertain and continuously changing conditions. The presence of moving obstacles, unpredictable environmental variations, and real-time decision-making constraints makes trad...