Papers
48
Total Citations
712
H-Index
14
About
Dongming Gan is a pioneering robotics researcher whose work spans soft robotics, robotic grasping, human-robot interaction, and advanced sensing technologies. His research has made substantial contributions to the design and modeling of soft and underactuated grippers, with landmark papers on tendon-driven modular grippers using interpenetrating phase composite materials (84 citations) and screw theory-based mathematical modeling of compliant robotic fingers (54 citations) establishing him as a leading voice in dexterous manipulation. Gan has further advanced the field through rigorous theoretical frameworks, including the Discrete Cosserat approach for closed-chain soft robots (50 citations), providing much-needed analytical tools for previously under-theorized mechanisms like the Fin-Ray principle. Beyond mechanical design, Gan has embraced cutting-edge sensing paradigms, pioneering neuromorphic vision-based approaches for tactile perception and real-time grasping strategies using event cameras — work that addresses critical limitations of conventional robotic vision systems. His research also extends into energy harvesting, with contributions to high-performance triboelectric nanogenerators (58 citations), and safe human-robot interaction through variable stiffness actuators. His assistive robotics work, including a supernumerary robotic finger for patients with sensorimotor impairments, underscores his commitment to socially impactful engineering. Collectively, his publications have attracted hundreds of citations, reflecting broad and growing influence across the robotics community.
Research Focus
Key Achievements
Top Papers
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- 7Real-time grasping strategies using event camera37 citations · 2022
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