Papers
1
Total Citations
29
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1
About
Yiming Bin is a leading researcher in the field of robotics, with a primary focus on advanced sensor technology and robot-environment interaction. His work centers on the critical challenge of achieving precise force sensing in dynamic robotic operations, particularly through the development of sophisticated algorithms for multi-dimensional force/torque sensors. Bin’s major contribution is a novel approach to payload identification and gravity/inertial compensation, which enables robots to accurately distinguish external contact forces from the disruptive inertial and gravitational forces generated by their own moving parts and payloads. His most-cited paper, "Payload Identification and Gravity/Inertial Compensation for Six-Dimensional Force/Torque Sensor with a Fast and Robust Trajectory Design Approach" (2022), has garnered 29 citations, underscoring its impact on improving the reliability and safety of high-speed robotic contact tasks. This work is essential for applications in industrial automation and collaborative robotics, where precise force feedback is paramount. Through his innovative trajectory design and compensation methods, Yiming Bin is helping to make robots more responsive and capable in complex, real-world environments.
Research Focus
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Top Papers
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