Papers
7
Total Citations
92
H-Index
6
About
Zhenqiang Liao is a robotics researcher whose work focuses on the design and control of adaptive, cost-effective robotic grippers and actuators. His major contributions lie in developing underactuated robotic grasping systems that are both safe and passively adaptive, eliminating the need for complex sensing. Liao has pioneered several innovative gripper designs, including a linear series elastic actuated robotic gripper (LSEA-RG) and a pneumatic underactuated robotic gripper (PURG), both of which enable sensor-less grasping force control. His work on back-drivable linear force actuators and bidirectional graspable finger mechanisms has advanced the field of compliant robotic manipulation. With multiple papers each garnering 15-19 citations, Liao's research has demonstrated significant impact, particularly in the areas of adaptive grasping and human-robot collaboration. His recent work extends to data-driven feedforward force control for pneumatic systems, addressing nonlinear hysteresis challenges. Liao's achievements include developing a Bezier-based state calibrating method for low-cost potentiometers, showcasing his commitment to practical, cost-effective solutions. His research is highly relevant for applications in collaborative manufacturing, industrial polishing, and humanoid robotics.
Research Focus
Key Achievements
Top Papers
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- 4A back-drivable linear force actuator for adaptive grasping15 citations · 2022
- 5A 1-Dof bidirectional graspable finger mechanism for robotic gripper14 citations · 2020
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