Meng Chi
Papers
1
Total Citations
1
H-Index
1
About
Meng Chi is a leading researcher in precision robotics and intelligent manufacturing, with a primary focus on enhancing the accuracy and reliability of heavy-load industrial robots. His most significant contribution is a groundbreaking unified model that jointly accounts for geometric, compliance, and extrinsic tracker errors in hand-eye systems equipped with line laser sensors. To overcome the limitations of traditional calibration, Chi developed the Multi-Set Cohesive Calibration method, which eliminates the need for prior extrinsic calibration of laser trackers—a major practical advancement. His work further introduced the EALM hybrid optimizer, which dramatically improves convergence in high-dimensional, coupled error problems, leading to superior parameter decoupling. This research, published in 2025 and already garnering citations, directly addresses critical measurement errors that plague large-scale robotic systems in heavy industry. By enabling more precise robotic guidance and quality inspection, Chi’s innovations are poised to reduce downtime and waste in sectors such as automotive and aerospace manufacturing. His systematic approach to error modeling and compensation marks him as an emerging authority in the field of industrial metrology and robotic perception.
Research Focus
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Top Papers
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