Papers
15
Total Citations
372
H-Index
9
About
Haiming Huang is a leading researcher in soft robotics, human-robot interaction, and intelligent perception systems. His most impactful work includes the development of a multimode grasping soft gripper using layer jamming structures and tendon-driven mechanisms (119 citations), which addresses the critical challenge of adapting robotic grippers to diverse objects and environments. Huang has pioneered the integration of machine learning for multi-modal information perception in soft robotic hands (53 citations), enabling advanced curvature sensing through flexible optical fibers. He has also advanced skill learning for human-robot interaction using wearable devices (39 citations), facilitating the transfer of human behaviors to service robots. Notably, his recent work on giant iontronic flexoelectricity in soft hydrogels (38 citations) introduces tunable biomimetic ion polarization for mechanoelectric conversion, breaking through the limitations of brittle conventional materials. Huang’s contributions extend to variable stiffness soft robotic hands, optimal control schemes for pneumatic actuators, and digital-twin-assisted skill learning for 3C assembly tasks. With over 350 total citations across his top papers, his research is shaping the future of adaptive, safe, and intelligent robotic systems for industrial and service applications.
Research Focus
Key Achievements
Top Papers
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- 3Skill learning for human-robot interaction using wearable device39 citations · 2019
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- 8Digital-Twin-Assisted Skill Learning for 3C Assembly Tasks13 citations · 2024
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