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Jin-Yu Yang

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Nov 2026

LiveVLN: Reducing Stop-and-Go Loops in Vision-Language Navigation

Recent navigation systems achieve strong benchmark results, yet real-world deployment often remains visibly stop-and-go. This bottleneck arises because the sense-inference-execution loop is still blocking: after each new observation, the controller must wait for sensing, transmission, and inference before motion can co...

Xiang-Chen Wang, Wei-Ye Zhu, Teng Wang et al. · 0 citations
Preprint Aug 2026

DreamTraj: Generating 6-DoF Object Trajectories by Reading Unrendered Video Diffusion Latents

Accurate prediction of object trajectories during manipulation is essential for closing the perception-action loop. Progress is limited on two fronts: available datasets lack fine-grained language-to-motion annotations, and existing predictors either rely on privileged inputs such as video, depth, or CAD models, or rec...

T. Ding, Zhen Luo, Yi-Xuan Yang et al. · 0 citations

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