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CAS Institute of Automation and PaXini collaborative research: tactile reinforcement learning achieves sub-millimeter precision assembly

A team led by Cheng Long at the Institute of Automation, Chinese Academy of Sciences, published research at IROS 2026 using tactile-enhanced reinforcement learning to complete sub-millimeter precision insertion, raising the success rate from 52% for a tactile-free approach to 67% under a 0.05 mm clearance.

Part of the event: Tactile Reinforcement Learning at the Institute of Automation, Chinese Academy of Sciences Improves Sub-Millimeter Assembly Success Rate

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