Denglin Zhu
Papers
10
Total Citations
140
H-Index
6
About
Denglin Zhu is a researcher at the forefront of soft robotics and autonomous systems, with key contributions spanning ionic polymer-metal composites (IPMCs), robotic navigation, and legged locomotion. Zhu’s most impactful work, “A Compact Review of IPMC as Soft Actuator and Sensor” (60 citations), establishes them as a leading voice in artificial muscle technology, addressing challenges in soft actuators for biomedical and manipulation applications. They further advanced this field by developing an active tube-shaped actuator with embedded square rod-shaped IPMCs (15 citations), enabling multi-degree-of-freedom bending motions for robotic-assisted manipulation and active catheters. In autonomous navigation, Zhu proposed a novel path planning algorithm combining jump point search and Bezier curves (26 citations), and developed an adaptive weighted guided image filtering approach for local stereo matching (12 citations), both critical for real-time robotic vision. Their work also addresses practical challenges in legged robotics, including foot-soil interaction analysis for hexapod robots and structural optimization to prevent sinking in soft terrain. With a bionic fish driven by four IPMC fins and a reconfigurable SCARA robot with advanced PID control, Zhu demonstrates a rare ability to bridge fundamental materials science with applied robotics, making their research essential reading for engineers developing next-generation soft and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 6A Stereo SLAM System With Dense Mapping7 citations · 2021
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