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@m-j-r
https://octopi-tactile-lvlm.github.io/ https://github.com/clear-nus/octopi more robotics developments. "We introduce PhysiCLeAR, a new dataset containing GelSight tactile videos of everyday household objects. The videos are collected by hand with two exploratory procedures, pressing and rotation, and annotated for three useful physical properties: hardness, roughness and bumpiness. PhysiCLeAR leverages the videos and annotations to create five language-driven physical description and understanding tasks. We train and evaluate Octopi, a large VLM, on PhysiCLeAR for tactile-grounded physical understanding and scenario reasoning."
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