Papers

10

Total Citations

102

H-Index

6

About

Hongliang Hua is a rising figure in the field of robotic manipulation, with a focused expertise in the design and control of adaptive, underactuated robotic grippers and actuators. His core research centers on developing cost-effective, safe, and passively compliant grasping systems, often leveraging series elastic actuation (SEA) and pneumatic mechanisms to achieve back-drivability and sensor-less force control. Hua’s major contributions include the novel LSEA-RG and PURG gripper designs, which demonstrate adaptive grasping without complex sensing, and a Bezier-based calibration method for low-cost potentiometers. His work has garnered over 100 citations, with his most influential papers—on the LSEA-RG and PURG grippers—each receiving 19 and 15 citations, respectively. Notably, his research on a 1-DoF bidirectional graspable finger mechanism and a modular 3-axis force sensor for compliant human-robot object transfer highlights his commitment to safe collaborative manufacturing. More recently, Hua has explored biomimetic water-responsive helical actuators and modular walking devices for pipeline robots, showcasing his versatility. His data-driven approach to pneumatic force control, addressing nonlinear hysteresis, further underscores his impact on precision automation. Hua’s work is essential reading for students and researchers interested in practical, adaptive, and sensor-efficient robotic grasping.

Research Focus

Key Achievements

6
H-Index
10
Papers
102
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A Bezier based state calibrating method for low-cost potentiometer with inherent nonlinearity
19 citations · 2021
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Changzhou Institute of Technology, Nanjing University of Science and Technology, Institute of Software

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago