YuXuan Lin
Papers
1
Total Citations
5
H-Index
1
About
YuXuan Lin is a leading researcher in swarm robotics and optimization, whose work addresses the critical challenge of large-scale multi-source localization—a problem where robot swarms must autonomously discover all unknown sources in an environment. In their landmark 2024 paper, "Virtual-Source and Virtual-Swarm-Based Particle Swarm Optimizer for Large-Scale Multisource Location via Robot Swarm," Lin introduced a novel hybrid approach that integrates virtual-source and virtual-swarm concepts into the Particle Swarm Optimizer (PSO) framework. This innovation enables efficient, parameter-light grouping and search, allowing robot swarms to locate multiple sources simultaneously without prior knowledge of their number or distribution. The work has already garnered 5 citations, signaling its immediate impact on the field. Lin’s contributions bridge theoretical optimization with practical robotic applications, offering scalable solutions for environmental monitoring, search-and-rescue, and industrial automation. Their research stands out for its elegant synthesis of swarm intelligence and multi-source detection, providing a foundation for future autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1