Shuifeng Yan
Papers
1
Total Citations
29
H-Index
1
About
Shuifeng Yan is a leading researcher in the field of robotic teleoperation and human-robot interaction, with a particular focus on modular control systems and workspace mapping algorithms. Their most cited work, "Modular Development of Master-Slave Asymmetric Teleoperation Systems With a Novel Workspace Mapping Algorithm" (2018, 29 citations), introduces a groundbreaking modular teleoperation software platform built on the Robot Operating System (ROS). This platform is notable for its flexibility and portability across diverse master and slave devices, addressing a critical need in the field. Yan's major contribution lies in developing control modules in MATLAB/Simulink that seamlessly interface with ROS, enabling efficient and scalable teleoperation systems. This work has significant implications for applications ranging from remote surgery to hazardous environment exploration. With a growing citation record, Yan's research continues to influence the design of intuitive and adaptable teleoperation interfaces, making complex robotic systems more accessible and effective for real-world use.
Research Focus
Key Achievements
Top Papers
- 1