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title
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site name
author
updated
2026-02-18 13:57:01
raw text
Interactive Language Interactive Language: Talking to Robots in Real Time Corey Lynch Ayzaan Wahid Jonathan Tompson Tianli Ding James Betker Robert Baruch Travis Armstrong Pete Florence Robotics at Google Paper Video Code Dataset Abstract We present a framework for building interactive, real-time, natural language-instructable robots in the real world, and we open source related assets (dataset, environment, benchmark, and policies). Trained with behavioral cloning on a dataset of hundreds of thousands of language-annotated trajectories, a produced policy can proficiently execute an order of magnitude more commands than previous works: specifically we estimate a 93.5% success rate on a set of 87,000 unique natural language strings specifying raw end-to-end visuolinguo-motor skills in the real world. We find that the same policy is capable of being guided by a human via real-time language to address a wide range of precise ...
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2026-02-18 13:57:01
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