Papers

1

Total Citations

5

H-Index

1

About

Dr. Guangqiang Yin is a leading researcher in wireless sensor networks and ultra-wideband (UWB) localization, with a focus on advancing robotic perception and autonomous navigation. His most-cited work, "Accurate Joint Estimation of Position and Orientation Based on Angle of Arrival and Two-Way Ranging of Ultra-Wideband Technology" (2025, 5 citations), addresses a critical challenge in robot localization: the simultaneous estimation of position and orientation without relying on rigid body models that demand multiple base stations. By integrating angle-of-arrival (AoA) and two-way ranging (TWR) techniques, Yin’s approach enhances accuracy and flexibility in dynamic environments, offering a more practical solution for real-world robotic systems. This contribution is particularly impactful for applications in industrial automation, drone swarms, and indoor navigation, where precise spatial awareness is essential. With a growing citation record, Yin’s work is shaping the future of UWB-based localization, bridging the gap between theoretical models and deployable technologies. His research continues to inspire innovations in sensor fusion and wireless communication, making him a notable figure in the field of robotics and IoT.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Accurate Joint Estimation of Position and Orientation Based on Angle of Arrival and Two-Way Ranging of Ultra-Wideband Technology
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago