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Learning to infer and manipulate through distributed whole-arm interaction in a soft robot

arXiv · AI, language, vision and robotics · article · Aug 31, 2026 · UTC

In animals such as elephants and octopuses, acquiring non-visual information about an object and physically engaging with it are inseparable processes mediated by rich, large-area interactions between compliant appendages and the environment. Soft robots provide a natural platform for translating this principle into engineered systems. Yet current robotic intelligence makes limited use of physical interaction, treating it primarily as a disturbance to be rejected or, at best, as a means of compensating for object misalignment. Here, we introduce a physical intelligence framework in which distr

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First collected: 2026-09-21T06:41:57.136Z. This is not the publication date.