Mingchang He
Papers
4
Total Citations
59
H-Index
3
About
Mingchang He is a leading researcher in the field of lightweight robotic design and soft robotics, with a focus on creating safer, more efficient systems for human-robot collaboration. His work centers on the structural optimization of robotic arms, where he has pioneered a unified design approach that parameterizes both drive trains and structural dimensions to minimize total mass—a critical factor for improving safety and energy efficiency in co-robotic environments. He’s most cited paper (21 citations) introduces this unified framework, while a closely related study (19 citations) presents an overall structure optimization method for lightweight arms, directly addressing the need for lighter, safer robots in service and industrial settings. Beyond arm design, He has advanced variable stiffness actuation, notably developing a precise position control method for a robot finger using shape memory alloy (17 citations), enabling adaptive grasping and safer interaction. His research on soft robot hands, including investigations into grasping force under varying stiffness, further demonstrates his commitment to flexible, compliant systems. With a growing citation impact, He’s contributions are shaping the next generation of lightweight, adaptive robotic systems for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2An overall structure optimization for a light-weight robotic arm19 citations · 2016
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