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He Gao

3 accepted papers

2025

Peg-in-hole assembly method based on visual reinforcement learning and tactile pose estimation

IROS 2025

When robots replicate human actions in peg-in-hole assembly tasks, such as USB Type-A insertion and removal, the complexity of the process and frequent obstructions from the inner walls make it difficult for robots to handle collisions or avoid jamming. These difficulties contribute to a low success

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