Yixiang Guo
Papers
4
Total Citations
14
H-Index
3
About
Yixiang Guo is a robotics researcher whose work centers on physical human-robot interaction (pHRI), with a particular focus on enabling intuitive, hands-free control of mobile robots. His key contribution is the design and validation of the Torso-dynamics Estimation System (TES), a novel interface that combines a Force Sensing Seat (FSS) with an inertial measurement unit (IMU) to capture the kinetics and kinematics of a user’s torso motions. This system allows operators to navigate riding or remote mobile robots using only natural torso movements, freeing their hands for other tasks. The TES has been validated through multiple studies, with his most-cited paper (2023) accumulating over 14 citations across its versions, demonstrating growing interest in this assistive technology. Guo’s work is particularly impactful for applications in rehabilitation, industrial mobility, and assistive robotics, where hands-free control can enhance accessibility and efficiency. His research represents a significant step toward more intuitive and inclusive human-robot interfaces, making him a notable emerging voice in the field of physical human-robot interaction.
Research Focus
Key Achievements
Top Papers
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