Papers

2

Total Citations

21

H-Index

2

About

Yuanchao Zhang is a leading researcher in mobile robotics, specializing in human-robot interaction (HRI), magnetic tracking, and autonomous charging systems. His work addresses critical challenges in robotic perception and motion control, particularly for applications requiring high precision and natural collaboration. Zhang’s most influential contributions include pioneering a magnetic tracking technique using real-time geomagnetic vector separation, which enables occlusion-free, high-precision pose adjustment for robotic dockable charging—a breakthrough for self-charging mobile robots. This work has garnered 11 citations since 2023. He also advanced side-by-side following for human-following robots, developing an ultra-wideband (UWB)-based system that adapts to sudden turns, making HRI more intuitive and socially acceptable. With 10 citations since 2022, this research underscores his focus on seamless, friendly robot companionship. Zhang’s achievements reflect a deep commitment to solving real-world deployment issues, from autonomous recharging to natural human-robot co-navigation, positioning him as a key innovator in field robotics. His work continues to inspire new approaches to reliable, adaptive robot autonomy.

Research Focus

Key Achievements

2
H-Index
2
Papers
21
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Magnetic Tracking With Real-Time Geomagnetic Vector Separation for Robotic Dockable Charging
11 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Chinese Academy of Sciences, Xiamen University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago