2025
Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
IROS 2025
By framing reinforcement learning as a sequence modeling problem, recent work has enabled the use of generative models, such as diffusion models, for planning. While these models are effective in predicting long-horizon state trajectories in deterministic environments, they face challenges in dynami