Papers
5
Total Citations
53
H-Index
4
About
Xinan Yan is a researcher whose work bridges the foundational challenges of multi-robot coordination and swarm robotics with cutting-edge applications in surgical technology. In their early career, Yan made significant contributions to distributed multi-robot systems, proposing a novel bidirectional auction algorithm for coordination that has garnered 19 citations and remains a reference point for team efficiency and energy reduction in multi-robot tasks. Their swarm intelligence research introduced a pattern formation algorithm combining Particle Swarm Optimization with virtual pheromone mechanisms, and a timer-based aggregation algorithm enabling self-organized collective behavior under strict local interaction constraints—both cited 12-13 times and fundamental to swarm robotics. More recently, Yan has applied robotic precision to the medical domain, leading a study on robot-assisted placement of transiliac-transsacral screws with multimodal neuroelectrophysiological monitoring for treating transforaminal sacral fractures, published in 2022. This work demonstrates a remarkable translational shift from theoretical swarm algorithms to high-stakes clinical interventions, showcasing Yan’s versatility in advancing both autonomous multi-robot exploration and life-saving surgical robotics.
Research Focus
Key Achievements
Top Papers
- 1A Distributed Bidirectional Auction Algorithm for Multirobot Coordination19 citations · 2009
- 2
- 3An algorithm for self-organized aggregation of swarm robotics using timer12 citations · 2011
- 4
- 5An Exploration Algorithm for a Swarm of Homogeneous Robots4 citations · 2009