Xuanlin Chen
Papers
1
Total Citations
36
H-Index
1
About
Xuanlin Chen is a leading researcher in multi-robot systems and cooperative control, with a primary focus on formation control and obstacle avoidance for mobile robots. Their most-cited work, "A Novel Virtual-Structure Formation Control Design for Mobile Robots with Obstacle Avoidance" (2020, 36 citations), introduces an innovative approach to coordinating multiple robots in complex environments—a critical challenge for applications in military, marine, and aerospace fields. By advancing virtual-structure methods, Chen addresses the limitations of existing formation control designs, enabling safer and more efficient cooperative motion. This contribution has garnered significant attention, with 36 citations reflecting its impact on the robotics community. Chen’s research bridges theoretical control design and practical implementation, offering solutions that enhance the autonomy and reliability of multi-robot teams. Their work is particularly notable for its potential to transform real-world tasks such as search-and-rescue, environmental monitoring, and autonomous exploration. For students and researchers, Chen’s publications provide a foundational understanding of how to achieve robust formation control while navigating dynamic obstacles, making their contributions essential reading for anyone interested in the future of cooperative robotics.
Research Focus
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Top Papers
- 1