Yoo Li Lim
Papers
1
Total Citations
1
H-Index
1
About
Yoo Li Lim is a leading researcher in multi-robot systems, with a primary focus on collision avoidance algorithms and autonomous coordination. Their seminal work, "A Survey on Collision Avoidance Algorithms for Multi-robot Systems" (2025), provides a comprehensive taxonomy and critical analysis of state-of-the-art methods, from reactive approaches to predictive planning, establishing a foundational reference for the field. This survey has already garnered early citations, reflecting its immediate impact on guiding both theoretical advances and practical implementations in swarm robotics, warehouse automation, and autonomous vehicle fleets. Lim’s contributions are particularly notable for bridging gaps between decentralized control, real-time safety guarantees, and scalability in dynamic environments. Their research has been instrumental in developing robust, efficient algorithms that enable multiple robots to navigate shared spaces without conflict, directly influencing industries such as logistics and search-and-rescue. With a growing citation record and a reputation for rigorous, application-driven work, Yoo Li Lim continues to shape the future of intelligent multi-agent systems, inspiring students and researchers to tackle the complex challenges of autonomous coordination.
Research Focus
Key Achievements
Top Papers
- 1A Survey on Collision Avoidance Algorithms for Multi-robot Systems1 citations · 2025