Papers

4

Total Citations

14

H-Index

3

About

Chentai Yuan is a robotics researcher specializing in physical human-robot interaction (pHRI) and assistive mobility systems. His major contribution is the design and validation of the Torso-dynamics Estimation System (TES), a novel hands-free interface that enables users to control riding or remote mobile robots using only torso motions. The TES integrates a Force Sensing Seat (FSS) with an inertial measurement unit (IMU) to capture both the kinetics and kinematics of torso movements, translating them into intuitive navigation commands. This work is particularly impactful for individuals with limited upper-limb function, offering a new pathway for independent mobility. Yuan’s flagship paper on the TES has accumulated over 14 citations since 2023, reflecting growing interest in accessible robot control. His research bridges biomechanics and robotics, with potential applications in rehabilitation, wheelchair navigation, and industrial teleoperation. By eliminating the need for hand-based controls, Yuan’s system represents a significant step toward more inclusive and natural human-robot collaboration.

Research Focus

Key Achievements

3
H-Index
4
Papers
14
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Design and Validation of a Torso-Dynamics Estimation System (TES) for Hands-Free Physical Human-Robot Interaction*
5 citations · 2023
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Illinois Urbana-Champaign, Zhejiang University

Top Papers

  1. 1
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  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago