Papers

3

Total Citations

50

H-Index

3

About

Shitong Zhou is a leading researcher in rehabilitation robotics and exoskeleton technology, with a focus on enhancing human-robot interaction for assistive and rehabilitative applications. Their key research areas include adaptive compliant control, sensor integration, and real-time assistance strategies for upper-limb and lower-limb exoskeletons. Zhou’s most impactful work, "Parameter identification and adaptive compliant control of rehabilitation exoskeleton based on multiple sensors" (2020, 36 citations), introduces a novel framework that leverages multiple sensors to enable exoskeletons to adaptively respond to user movements, improving safety and comfort during rehabilitation. This contribution has been widely recognized for its potential to advance personalized therapy. Another significant study, "Multi-connection load compensation and load information calculation for an upper-limb exoskeleton based on a six-axis force/torque sensor" (2019, 11 citations), proposes a method to accurately measure and compensate for loads, enhancing the precision of exoskeleton control. Zhou’s recent work on real-time assistance control for active knee exoskeletons (2021) further demonstrates their commitment to developing practical, responsive systems for mobility support. With a growing citation impact, Zhou’s research is shaping the future of assistive robotics, offering innovative solutions for rehabilitation and human augmentation.

Research Focus

Key Achievements

3
H-Index
3
Papers
50
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Parameter identification and adaptive compliant control of rehabilitation exoskeleton based on multiple sensors
36 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Beijing Jingshida Electromechanical Equipment Research Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago