SOURCE-LINKED INTELLIGENCE
Learning to infer and manipulate through distributed whole-arm interaction in a soft robot
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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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T13:35:00.000Z
First collected: 2026-09-21T06:41:57.136Z. This is not the publication date.