Papers

4

Total Citations

118

H-Index

3

About

Haichuan Che is a robotics researcher whose work sits at the intersection of soft robotics, dexterous manipulation, and multimodal sensing. His primary research areas include the design of soft-rigid hybrid grippers, in-hand manipulation, and visuotactile sensing for contact-rich tasks. Che’s most influential contribution is the development of a soft-rigid hybrid gripper that combines the compliance of soft actuators with the structural integrity of rigid components, enabling both lateral compliance and dexterous in-hand manipulation—a breakthrough that has garnered 78 citations since 2022. He further advanced the field with his work on “robot synesthesia,” a system that fuses visual and tactile feedback to enhance dexterous manipulation, earning 32 citations in 2024. Che also contributed to mobile robotics with the design of an agile omnidirectional robot featuring active suspension, addressing the challenge of rough-terrain navigation. His work is notable for bridging the gap between soft, safe interaction and precise, robust control, making him a rising figure in robotic manipulation and sensing.

Research Focus

Key Achievements

3
H-Index
4
Papers
118
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
A Soft-Rigid Hybrid Gripper With Lateral Compliance and Dexterous In-Hand Manipulation
78 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Southern University of Science and Technology, University of California San Diego

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago