Zhongqiang Zhang
Papers
10
Total Citations
202
H-Index
6
About
Zhongqiang Zhang is a leading researcher at the intersection of soft robotics, bionic actuation, and intelligent sensing systems. His work focuses on developing bioinspired artificial muscles, self-healing soft robots, and high-sensitivity tactile sensors that push the boundaries of human-machine interaction and autonomous robotics. Zhang’s most impactful contributions include the design of a pneumatically actuated self-healing bionic crawling soft robot (44 citations) and a high-sensitivity flexible tri-axial capacitive tactile sensor for object grab sensing (39 citations), both of which demonstrate his ability to merge material innovation with practical robotic functionality. He also proposed a convex optimization method for time-optimal trajectory planning with jerk constraints for industrial manipulators (37 citations), addressing critical challenges in robotic motion efficiency and smoothness. More recently, Zhang has advanced the field with artificial muscles based on coiled conductive polymer yarns (30 citations) and a triboelectric-based self-powered tactile sensor featuring a bionic fingerprint ring structure (25 citations). His work on thermal-sensing actuators and variable-stiffness underwater systems further underscores his versatility. With over 200 total citations and a growing portfolio of high-impact publications, Zhang is shaping the future of adaptive, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Pneumatically Actuated Self-Healing Bionic Crawling Soft Robot44 citations · 2020
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- 4Artificial Muscles Based on Coiled Conductive Polymer Yarns30 citations · 2024
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- 7Variable-Stiffness Underwater Robotic Systems: A Review2 citations · 2025
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