Yimin Song
Papers
30
Total Citations
850
H-Index
14
About
Yimin Song is a prominent robotics researcher whose work spans robot kinematics, calibration, parallel and hybrid mechanisms, and advanced manufacturing robotics. His most celebrated contribution, "Kinematic Calibration of Serial and Parallel Robots Based on Finite and Instantaneous Screw Theory" (2020, 149 citations), established a generic and elegant mathematical framework for robot error modeling, fundamentally improving calibration accuracy and efficiency across multiple robot architectures. Building on this, his subsequent calibration work for articulated serial robots and deformation-aware industrial calibration (2020, 2022) has further advanced precision control in real-world manufacturing settings. Song has also made significant contributions to innovative robot design, including a transformable wheel-legged mobile robot (119 citations) and hybrid reconfigurable systems such as the Tricept-IV platform, demonstrating exceptional versatility across locomotion and machining domains. His nonlinear hybrid control approach for high-speed parallel robots (113 citations) addresses critical vibration challenges in lightweight, high-performance systems. Applications of his research span aerospace manufacturing, friction stir welding, and casting post-processing. With over 690 total citations across a decade of sustained output, Song's work represents a vital bridge between theoretical robotics and high-precision industrial implementation.
Research Focus
Key Achievements
Top Papers
- 1
- 2A transformable wheel-legged mobile robot: Design, analysis and experiment119 citations · 2017
- 3Singular-Perturbation-Based Nonlinear Hybrid Control of Redundant Parallel Robot113 citations · 2017
- 4Calibration for Precision Kinematic Control of an Articulated Serial Robot74 citations · 2020
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- 9Grinding/Cutting Technology and Equipment of Multi-scale Casting Parts17 citations · 2022
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