Jian‐Jin Li
Papers
1
Total Citations
3
H-Index
1
About
Jian-Jin Li is a researcher focused on intelligent robotics and multi-vehicle systems, with particular expertise in path planning and formation control. Their most notable contribution addresses the complex challenge of coordinating multiple vehicles through obstacle-dense environments. In their key 2018 work, Li developed a joint grid network combined with an improved particle swarm optimization algorithm to solve path planning for multi-vehicle formations. This approach specifically tackled the critical "deadlock phenomenon" that often plagues such systems, where vehicles become trapped in local optima and cannot proceed. By proposing a kinematic model for intelligent small robot vehicles (ISRVs) through mechanical analysis, Li provided a theoretical foundation for practical multi-robot coordination. While this foundational work has garnered 3 citations, it represents an important step in swarm robotics and autonomous navigation. Li’s research sits at the intersection of optimization algorithms, mechanical modeling, and multi-agent systems, offering valuable insights for students and researchers working on autonomous vehicle coordination, formation control, and obstacle avoidance in complex environments.
Research Focus
Key Achievements
Top Papers
- 1