Papers
20
Total Citations
525
H-Index
12
About
Libin Zhang is a leading researcher in soft robotics and intelligent robotic systems, with a career spanning foundational work in flexible actuators to cutting-edge deep learning for agricultural automation. Zhang’s most cited work, “Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis” (2018, 202 citations), provides a seminal bibliometric mapping of the field, establishing a quantitative framework that has guided subsequent research directions. In industrial robotics, Zhang has made significant contributions to motion control and trajectory optimization, including adaptive robust sliding mode controllers for 6-DOF assembly robots (35+ citations) and a novel point-to-point trajectory planning algorithm based on a locally asymmetrical jerk profile (2022, 30 citations). Zhang’s innovative work extends to soft pneumatic actuators, notably the trunk-like soft actuator design (2019, 17 citations), and to agricultural robotics, where the ESP-YOLO network enables real-time detection of mature table grapes on embedded platforms (2024, 21 citations). With over 450 total citations across ten highly cited papers, Zhang’s research bridges theoretical modeling, friction compensation, and practical deployment, making lasting impacts in both industrial automation and field robotics.
Research Focus
Key Achievements
Top Papers
- 1Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis202 citations · 2018
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- 7Development and control of flexible pneumatic wall-climbing robot19 citations · 2009
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- 9Trunk-like Soft Actuator: Design, Modeling, and Experiments17 citations · 2019
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