Youping Chen
Papers
11
Total Citations
139
H-Index
7
About
Youping Chen’s research lies at the intersection of robotics, sensor technology, and intelligent perception, with a focus on enabling safer and more precise human-robot collaboration. Her major contributions include the development of a six-dimensional traction force sensor for collaborative robots, a novel calibration method for multi-robot systems that eliminates the need for nominal kinematic parameters, and an integrated compensation method to correct force disturbances in complex manufacturing scenarios. These innovations have been cited over 100 times, reflecting their impact on industrial automation and robotic control. Chen has also advanced 3D object detection and classification, with work on learning to align point cloud patches with CAD models for 6D pose estimation and a point convolution network for object classification from point clouds. Her notable achievements include the design of a tandem force sensor that simultaneously perceives traction and contact forces, enabling more intuitive robot teaching. With a growing portfolio spanning sensor calibration, force sensing, and 3D perception, Chen’s work is shaping the future of autonomous systems and collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1A six-dimensional traction force sensor used for human-robot collaboration38 citations · 2018
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- 53D object classification with point convolution network9 citations · 2017
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- 7Development and Application of a Tandem Force Sensor7 citations · 2020
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