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Shanghai Jiao Tong University
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UMI-Bench 1.0 reveals that standardized real-world evaluations can dramatically improve the reliability of UMI-style robotic manipulation policies.
SpaceVLN achieves state-of-the-art zero-shot navigation performance by integrating spatial cognitive memory with task-guided reasoning, redefining how agents understand and navigate complex environments.
OASIS shows that simulation can outperform real-world teleoperation in humanoid manipulation tasks by leveraging diverse environmental variations.