Binbin Han
Papers
2
Total Citations
66
H-Index
2
About
Binbin Han is a leading researcher in intelligent sensing and robotics, with a primary focus on the development and decoupling of piezoelectric six-dimensional force/torque sensors. These sensors are critical for advanced robotic applications, yet their inherent nonlinearities and cross-axis coupling present significant challenges. Han’s major contributions lie in pioneering advanced computational decoupling algorithms to overcome these bottlenecks. Notably, their 2018 work, “Research on static decoupling algorithm for piezoelectric six axis force/torque sensor based on LSSVR fusion algorithm,” has garnered 61 citations, establishing a robust framework for high-precision static decoupling. Complementing this, their research on nonlinear decoupling using BP neural networks directly addresses the critical national need for domestically developed, high-performance six-dimensional force sensors, a key bottleneck in Chinese robotics. By fusing machine learning techniques with sensor physics, Han’s work enables more accurate force measurement in complex robotic tasks, from precision assembly to human-robot interaction. Their research is essential for advancing autonomous systems, offering practical solutions that bridge the gap between sensor hardware limitations and the demanding requirements of next-generation robotics.
Research Focus
Key Achievements
Top Papers
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- 2