Fangchao Yu
Papers
12
Total Citations
202
H-Index
6
About
Fangchao Yu is a robotics researcher whose work sits at the intersection of swarm intelligence, multi-robot coordination, and autonomous navigation. With a publication record spanning nearly a decade, Yu has established a distinctive research identity around two core themes: swarm robot search strategies and cooperative transportation systems. Yu's most influential contributions lie in developing sophisticated search algorithms for swarm robots operating in unknown environments. Drawing heavily from bio-inspired computation, Yu pioneered improved grouping strategies using constriction-factor Particle Swarm Optimization and stigmergy-based mechanisms — nature-inspired coordination methods that allow robots to communicate indirectly through environmental cues, such as vector pheromones. These frameworks enable robotic swarms to efficiently locate and track multiple dynamic targets simultaneously, a notoriously difficult challenge in autonomous systems research. Beyond search behavior, Yu's 2020 work on distributed cooperative transportation — which has garnered 48 citations — demonstrated practical multi-robot collaboration for moving polygonal objects without centralized control, earning it Yu's most recognized contribution to date. Collectively accumulating nearly 200 citations, Yu's research offers meaningful advances in scalable, decentralized robotic systems with real-world implications for logistics, search-and-rescue, and autonomous deployment scenarios.
Research Focus
Key Achievements
Top Papers
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- 4Swarm Robots Search for Multiple Targets24 citations · 2020
- 5A Stigmergy Based Search Method for Swarm Robots18 citations · 2017
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- 8A stigmergy-based aggregation method for swarm robotic system6 citations · 2017
- 9A Grouping Method for Multiple Targets Search Using Swarm Robots5 citations · 2016
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