Yuanli Yin
Papers
1
Total Citations
39
H-Index
1
About
Yuanli Yin is a researcher specializing in multi-robot systems, sensor fusion, and localization technologies. His work addresses critical challenges in autonomous coordination, particularly through the integration of ultra-wideband (UWB) ranging and advanced optimization techniques. His most-cited paper, "Multi-robot relative positioning and orientation system based on UWB range and graph optimization" (2022, 39 citations), presents a novel framework that combines UWB measurements with graph-based optimization to achieve precise relative positioning and orientation among multiple robots. This contribution is pivotal for applications in swarm robotics, search-and-rescue, and collaborative mapping, where accurate inter-robot localization is essential. By leveraging graph optimization, Yin’s approach enhances robustness and scalability, reducing errors in dynamic environments. His work has garnered attention for its practical impact on real-world multi-robot deployments, offering a computationally efficient alternative to traditional methods. With 39 citations, this paper underscores his influence in the field of robotics and autonomous systems. Yin’s research continues to push boundaries in sensor integration and decentralized coordination, making him a notable figure in the advancement of intelligent multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1