Randomized trial demonstrates dexterous manipulation with vision-tactile integration, indicating significant improvements in performance.
In the field of embodied intelligence, the effective integration of vision and touch is essential for achieving dexterous manipulation. To address the limitations of vision-only perception in perceiving contact states and material properties, we propose DeepTouch, a vision-tactile fusion framework integrating visuo-tactile perception, simulated and real data acquisition, and a vision-tactile-language-action (VTLA) control strategy. It provides a concise technical framework for refined dexterous manipulation.
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Li et al. (2026) studied this question.
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