Sijia Ye
Papers
1
Total Citations
2
H-Index
1
About
Sijia Ye is a robotics researcher whose work centers on human-robot interaction, rehabilitation robotics, and adaptive control systems. Her most notable contribution is a compliance control strategy for upper-limb rehabilitation robots, which addresses a critical challenge in assistive robotics: enabling safe, sensorless physical human-robot interaction (pHRI). In her 2023 paper, Ye developed a real-time interactive force learning controller for end-effector type robots, using an adaptive sliding mode term to estimate interactive forces without requiring force sensors. This innovation improves both the safety and responsiveness of rehabilitation training, allowing robots to adapt dynamically to patient movements. While her citation count is still growing, her work represents an important step toward more intuitive and cost-effective rehabilitation devices. Ye's research sits at the intersection of control theory and clinical application, with potential to make robotic therapy more accessible. Her focus on sensorless force estimation and real-time adaptation positions her as an emerging voice in the field of compliant robotic systems for healthcare.
Research Focus
Key Achievements
Top Papers
- 1