Review
Jul 2026
Robotic learning takes place in dynamic environments with large behavior spaces. A terminal success signal only tells the robot whether the task is completed. It does not explain whether the current behavior is making progress, remaining unchanged, or undoing earlier progress. For this reason, recent studies have incre...
Jianshu Zhang, Keliang Wu, Haoran Lu et al.
· arXiv.org · 1 citation
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Preprint
Aug 2026
Streaming video understanding requires answering questions that arrive at arbitrary moments over an unbounded video stream. Existing systems primarily focus on what to retain in a bounded memory, yet access that memory using the same fixed-cost procedure for every query, despite substantial variation in the evidence re...
Ce Zhang, Jing Bi, Jinxi He et al.
· 2 citations
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From YAML-first specifications that decouple contents, placement, behavior, and agent exposure, MagicSim constructs diverse executable worlds spanning task families, interaction regimes, physics, layouts, sensors, avatars, and robot embodiments in one reset-and-step loop.
Haoran Lu, Song-Lin Liu, Yue Chen et al.
· arXiv.org · 0 citations
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Experimental results demonstrate that Phys4D substantially improves fine-grained spatiotemporal and physical consistency compared to appearance-driven baselines, while maintaining strong generative performance.
Haoran Lu, Shang Wu, Song-Lin Liu et al.
· 0 citations
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