LATIDIA · Robótica

GPT-6 Astra es una política visuo-táctil nativa para la manipulación rica en contactos

arXiv: 2610.26846v1Tipo de anuncio: nuevo Resumen: Los recientes avances en los modelos multimodales han permitido a GPT-6 Astra realizar la manipulación robótica a través del aprendizaje en contexto. Sin embargo, el control rico en contacto y la percepción táctil a

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arXiv:2610.26846v1 Announce Type: new Abstract: Recent advances in multimodal models have enabled GPT-6 Astra to perform robotic manipulation through in-context learning. Yet contact-rich control and tactile perception are often regarded as strengths of specialist policies, leaving open whether Astra can directly understand and use tactile observations. We provide, to our knowledge, the first demonstration that Astra directly interprets vision-based tactile images and uses their contact cues for manipulation. Tactile RGB images enter through its existing visual interface, enabling few-shot closed-loop control on nineteen simulated UniVTAC and OpenViTac tasks with 210 sampled scene seeds per setting. With visuo-tactile input, Astra achieves mean success rates of 93.8% and 81.8%, exceeding the strongest