Papers
1
Total Citations
12
H-Index
1
About
Li Qin is a researcher specializing in swarm robotics and bio-inspired optimization, with a particular focus on the intersection of collective intelligence and autonomous robotic systems. Their most notable work, "A self-organising cooperative hunting by robotic swarm based on particle swarm optimisation localisation" (2015), demonstrates a significant contribution to the field of decentralized multi-robot coordination. In this research, Li Qin developed a novel framework in which individual robots, equipped only with the ability to detect directional angles of a moving target, can collectively achieve cooperative hunting behavior through local interactions governed by Particle Swarm Optimisation (PSO). This elegant approach eliminates the need for centralized control, advancing the practicality of deploying autonomous robotic swarms in real-world scenarios. The work has garnered 12 citations, reflecting its relevance to ongoing research in swarm intelligence, search-and-track problems, and emergent collective behavior. Li Qin's contributions are particularly valuable to researchers exploring scalable, low-cost robotic systems where individual agents with limited sensing capabilities can accomplish complex group tasks through self-organization — a challenge central to modern robotics and artificial intelligence.
Research Focus
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Top Papers
- 1