Xiaoyang Yuan
Papers
1
Total Citations
5
H-Index
1
About
Xiaoyang Yuan is a leading researcher in multi-robot systems, with a primary focus on formation control, motion planning, and cooperative autonomy. Their most notable contribution is the development of a novel leader-follower model combined with an optimization-based motion planning approach, which ensures consistent and stable formation control among multiple robots. This work, published in 2025 and garnering 5 citations, addresses critical challenges in scalability and real-time coordination for robotic swarms. Yuan’s research bridges theoretical control algorithms with practical deployment, enabling robust performance in dynamic environments. Their achievements include advancing the efficiency of multi-robot systems for applications in search-and-rescue, environmental monitoring, and autonomous logistics. By integrating optimization techniques with formation control, Yuan has provided a framework that reduces computational overhead while maintaining high precision. This work is foundational for students and researchers exploring decentralized robotics, offering a clear pathway from theory to implementation. With a growing citation impact, Xiaoyang Yuan continues to shape the future of collaborative autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1