Papers
9
Total Citations
71
H-Index
3
About
Songdong Xue is a researcher specializing in swarm robotics, autonomous search systems, and bio-inspired computational intelligence. His work sits at a compelling intersection of robotics and swarm intelligence, where he has made notable contributions to the modeling and control of multi-robot systems for target search in hazardous environments. Xue's most influential contribution — his 2009 paper on parallel asynchronous control strategy for swarm robots, which has garnered 41 citations — introduced the concept of time-varying character swarms (TVCS) and extended Particle Swarm Optimization (PSO) as a framework for coordinating distributed robotic search. This foundational work proposed an asynchronous communication policy grounded in expected evolution position principles, offering a practical and scalable approach to swarm coordination. Across his body of work, Xue has systematically explored critical aspects of swarm robotic search, including heterogeneous sensory signal fusion, synchronous versus asynchronous communication modes, and the effects of algorithmic parameters on search performance. His applied focus on coal mine disaster scenarios — where robots might locate trapped victims in dangerous conditions — underscores the real-world urgency motivating his research. His 2011 review of autonomous robotic search further demonstrates his commitment to synthesizing and advancing this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
- 1Parallel asynchronous control strategy for target search with swarm robots41 citations · 2009
- 2Controlling swarm robots for target search in parallel and asynchronously11 citations · 2009
- 3
- 4Effects of algorithmic parameters on swarm robotic search3 citations · 2010
- 5A review of autonomous robotic search3 citations · 2011
- 6Effect of Communication Modes to Swarm Robotic Search3 citations · 2014
- 7
- 8Swarm robots search when local sense and interactions2 citations · 2008
- 9Modeling and Simulation Approaches to Swarm Robotic Systems2 citations · 2010