Single AI policy controls 20 diverse robot bodies autonomously

A new AI policy, LingBot-VLA 2.0, has demonstrated the ability to control a diverse range of 20 different robot bodies, from single robotic arms to full humanoids, all operating autonomously. This generalist policy was trained on approximately 60,000 hours of data, including real-world robot interactions and human video. While the policy shows promise across various robotic platforms, its success rate in completing tasks varies significantly, often faltering in the final precise manipulation stages. AI

IMPACT Highlights the challenge of achieving robust, generalizable robotic control and the gap between simulated and real-world task completion.

RANK_REASON Demonstration of a generalist AI policy applied to multiple robot bodies, with details on training and performance metrics. [lever_c_demoted from research: ic=1 ai=1.0]

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