CORTEXA
← Browse

Yong-Lu Li

2 papers indexed

arxivcs.RO2026-06-30

ChronoFlow-Policy: Unifying Past-Current-Future Interaction Flow in Visuomotor Policy Learning

Bokai Lin, Yifu Xu, Xinyu Zhan, Hongjie Fang, Jialin Tian, Fu-Cheng Zhang, et al.

Visual signals play a crucial role in policy learning by enabling models to capture object motion and interaction dynamics. Just as humans reason about actions using both past experience and anticipated outcomes, effective policies should integrate past interactions with future p…

View free PDFSource page
arxivcs.CVcs.AIcs.GR2026-06-26

HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration

Jiaxin Li, Yuxiang Wu, Zhenkai Zhang, Xinrui Shi, Haoyuan Wang, Yichen Zhao, et al.

Extracting dynamic 4D object interactions from massive, in-the-wild monocular videos offers a highly efficient data collection pathway for scaling Embodied AI and training VLAs. However, existing monocular 4D reconstruction methods primarily focus on isolated objects, often faili…

View free PDFSource page