Papers
157
Total Citations
3,988
H-Index
35
About
I-Ming Chen is a prolific robotics researcher whose work spans modular robotics, robot kinematics, human-robot collaboration, and educational robotics. With a career stretching over two decades, Chen has made foundational contributions to the design and optimization of reconfigurable robotic systems, developing influential methods for enumerating and optimizing modular robot configurations — work that has collectively garnered hundreds of citations and shaped how engineers approach flexible automation. His research on kinematic calibration, including local POE models and self-calibrating cable-driven arms, has advanced precision robotics significantly. Chen has also pushed boundaries in applied robotics, leading projects such as Pictobot, a cooperative painting robot for construction environments, and innovative soft robotic gripper systems for food handling, reflecting his commitment to real-world human-robot collaboration. Perhaps most notably, his 2016 systematic review on robots in education — cited over 250 times — has become an essential reference for scholars examining how robotic technologies influence child development and learning. Chen's diverse, high-impact body of work marks him as a leading voice bridging theoretical robotics research with practical, human-centered applications across education, manufacturing, and beyond.
Research Focus
Key Achievements
Top Papers
- 1A Review on the Use of Robots in Education and Young Children.252 citations · 2016
- 2Local POE model for robot kinematic calibration209 citations · 2001
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- 4Geometric design optimization of an under-actuated tendon-driven robotic gripper112 citations · 2017
- 5Determining task optimal modular robot assembly configurations105 citations · 2002
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- 9Self-Calibration of a Biologically Inspired 7 DOF Cable-Driven Robotic Arm93 citations · 2008
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