Yawei Tian

Physics-constrained multimodal reinforcement learning for local UAV Navigation in complex static obstacle environments

PC-MM-SAC is presented, a task-oriented multimodal reinforcement-learning framework with a lightweight physics-constrained action-execution layer for local navigation in complex static obstacle environments that achieves the highest success rate among the evaluated methods under the current task setting.