About

Kaiyu Qin is a leading researcher in intelligent navigation and multi-robot cooperative systems, with a focus on enabling autonomous operation in GNSS-denied environments. His major contributions center on developing vision-aided navigation frameworks that allow unmanned aerial vehicles (UAVs) and ground robots to collaborate effectively in indoor or signal-degraded spaces. His most cited work, an "Intelligent Ground-Air Cooperative Navigation Framework Based on Visual-Aided Method in Indoor Environments" (2021, 25 citations), demonstrates how heterogeneous robots can perform complex tasks without relying on satellite signals. He also advanced distributed consensus control for uncertain Euler–Lagrange systems using neural networks (2024, 7 citations), and pioneered a cooperative ground-aerial vehicle system for UAV navigation in GNSS-denied settings (2018, 7 citations). Additionally, his research on multi-joint power-assisted exoskeletons explores human-robot interaction for assistive technologies. Qin’s work is highly relevant to the future of autonomous robotics, particularly in search-and-rescue, inspection, and logistics applications where reliable GNSS is unavailable. His innovative integration of visual sensing and cooperative control continues to shape the next generation of resilient, intelligent robotic systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
41
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
An Intelligent Ground-Air Cooperative Navigation Framework Based on Visual-Aided Method in Indoor Environments
25 citations · 2021
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Electronic Science and Technology of China, Nanjing University of Aeronautics and Astronautics

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago