Yunfan Jiang
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126
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Robotics×1AI×1ML×1
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2026
RoboTTT: Context Scaling for Robot Policies
This paper introduces Test-Time-Training Robot Policies (RoboTTT), a robot model and training recipe that scales visuomotor context to 8K timesteps, enabling new capabilities like one-shot imitation and robustness to perturbations.
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cs.ROcs.AIcs.LGEmpiricalRecentJul 16, 2026
RoboTTT: Context Scaling for Robot Policies
Yunfan Jiang, Yevgen Chebotar, Ruijie Zheng, Fengyuan Hu +7 more
This paper introduces Test-Time-Training Robot Policies (RoboTTT), a robot model and training recipe that scales visuomotor context to 8K timesteps, enabling new capabilities like one-shot imitation a…
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