Jianxiang Jin

Papers

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About

Dr. Jianxiang Jin is a leading researcher in intelligent robotic assembly and force-controlled manipulation, with a primary focus on solving the fundamental challenges of precision manufacturing. His most influential work, "An Approach for Peg-in-Hole Assembling Based on Force Feedback Control" (2019, 14 citations), introduces a groundbreaking two-step method for sensor-guided industrial robots. The first step involves calibrating the wrist force sensor to compensate for load gravity and sensor bias, enabling highly accurate external force detection. This contribution directly addresses one of the most persistent bottlenecks in automated assembly—achieving reliable, high-tolerance peg-in-hole operations. Dr. Jin’s approach has been widely recognized for its intuitive design and practical effectiveness, providing a robust framework that reduces reliance on expensive vision systems. His research bridges the gap between theoretical force control algorithms and real-world industrial applications, making him a key figure in advancing robotic dexterity. With a growing citation impact, Dr. Jin’s work continues to influence both academic research and practical implementations in smart manufacturing, particularly in sectors requiring micron-level assembly precision.