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Pengyuan Wu

2 accepted papers

2026

Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy

ICRA 2026poster

Diffusion-based policies have achieved remarkable results in robotic manipulation but often struggle to adapt rapidly in dynamic scenarios, leading to delayed responses or task failures. We present DCDP, a Dynamic Closed-Loop Diffusion Policy framework that integrates chunk-based action generation w…

2026

Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation

CVPR 2026

Vision-and-Language Navigation (VLN) requires the agent to navigate based on natural instructions. This task is challenging due to partial observability, which makes it difficult to align perception with language. Recent methods mitigate this by imagining future scenes, yet they rely on vision-based

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