Papers
1
Total Citations
34
H-Index
1
About
Liheng Chen is a leading researcher in the field of robotic manipulation, with a primary focus on the design and optimization of high-sensitivity tactile and torque sensors for dexterous robot fingers. His most cited work, a 2019 paper on the design and optimization of a high-sensitivity joint torque sensor, has garnered 34 citations and is foundational for advancing force control in robotic hands. Chen’s contributions are critical to enabling robots to perform delicate, human-like grasping and manipulation tasks, particularly in unstructured environments. His research integrates mechanical design, sensor calibration, and control algorithms to achieve precise force feedback, directly impacting the development of more adaptive and safe robotic systems for applications ranging from industrial assembly to assistive robotics. By pushing the boundaries of sensor sensitivity and miniaturization, Chen is helping to bridge the gap between rigid industrial robots and the compliant, tactile-aware machines of the future. His work is widely cited by peers developing next-generation robotic grippers and haptic interfaces.
Research Focus
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Top Papers
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