Xinhuan Feng
Papers
2
Total Citations
10
H-Index
2
About
Xinhuan Feng is a researcher specializing in swarm intelligence and multi-robot systems, with a focus on bio-inspired algorithms for autonomous navigation and decision-making. Their work integrates cellular automata, ant colony optimization, and artificial fish-swarm algorithms to address complex challenges in robotics, particularly in dynamic environments like robot soccer. Feng’s most-cited paper (2010, 6 citations) introduces an improved ant colony algorithm combined with cellular automata for obstacle avoidance, featuring a novel pheromone-diffusion mechanism to prevent local convergence. Another key contribution (2010, 4 citations) optimizes artificial fish-swarm algorithms using multi-threshold techniques to reduce uncontrollable robot actions in simulation platforms. Though citation counts are modest, Feng’s work demonstrates early innovation in hybridizing computational intelligence methods for real-time robotic control, laying groundwork for adaptive path planning in competitive and constrained settings. Their research bridges theoretical algorithm design and practical simulation, offering insights for students and researchers exploring swarm robotics and evolutionary computation.
Research Focus
Key Achievements
Top Papers
- 1
- 2