Papers
26
Total Citations
248
H-Index
8
About
Lizhe Qi is a pioneering researcher in soft robotics and intelligent manufacturing systems, whose work bridges the gap between compliant robotic structures and high-precision industrial applications. His primary research areas include variable-stiffness soft continuum robots, robotic grasping mechanisms, and automated manufacturing processes such as grinding, welding, and ultrasound scanning. Qi’s most significant contributions lie in developing soft robots with tunable stiffness using particle jamming and folded plate mechanisms, enabling multidirectional grasping of fragile objects—a breakthrough that addresses the longstanding trade-off between compliance and load capacity. His 2019 paper on a jamming-based soft continuum robot (50 citations) and his 2022 work on variable-stiffness grasping (47 citations) are foundational in this domain. Qi has also advanced robotic belt grinding and welding through adaptive modeling techniques, including support vector machine and particle swarm optimization algorithms, with papers from 2009–2010 accumulating over 20 citations. More recently, he has pioneered robotic ultrasound scanning systems with force-tracking control (2024, 17 citations) and autonomous cardiac imaging based on human posture recognition (2024, 8 citations). With over 180 total citations across his top ten papers, Qi’s work is shaping the future of soft, adaptive, and intelligent robotic systems for both medical and industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Modeling and Experimental Study of a Novel Multi-DOF Parallel Soft Robot15 citations · 2020
- 6Path planning for automatic robotic blade grinding11 citations · 2009
- 7
- 8
- 9
- 10An adaptive modeling approach based on ESN for robotic belt grinding7 citations · 2010