Guangtao Zhang

Technical University of Denmark, Tsinghua University

Papers

11

Total Citations

202

H-Index

8

About

Guangtao Zhang is a researcher specializing in assistive technology, human-robot interaction, and accessible interface design, with a particular focus on empowering individuals with motor disabilities through innovative control systems. His work sits at the intersection of eye-gaze interaction, telepresence robotics, and virtual reality, addressing a critical gap in how people with severe physical limitations can engage with the world around them. Zhang's most significant contributions involve developing and evaluating eye-gaze control systems for telepresence robots, enabling users with limited hand mobility to navigate robots remotely and participate in social, educational, and public environments. His highly cited systematic review on telepresence robots for people with special needs (53 citations) provides a foundational resource for the field, while his explorations of eye-gaze wheelchair control (33 citations) demonstrate the practical feasibility of gaze-driven mobility solutions. His research using head-mounted displays with integrated gaze tracking represents a particularly novel approach, combining immersive VR environments with real-world robotic control. With over 200 cumulative citations, Zhang's body of work has meaningfully shaped accessible robotics research. His field studies with actual users from target disability groups add critical real-world validity, ensuring his innovations translate beyond the laboratory into genuine improvements in independence and quality of life.

Research Focus

Key Achievements

8
H-Index
11
Papers
202
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Telepresence Robots for People with Special Needs: A Systematic Review
53 citations · 2022
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Technical University of Denmark, Tsinghua University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago