Liang Zeng
Papers
1
Total Citations
6
H-Index
1
About
Liang Zeng is a researcher focused on swarm robotics and self-organizing systems, with particular expertise in developing motion models for mobile robot groups. His most-cited work, "Research on Self-Organizing Target Hunting for Mobile Robot Group" (2018), introduces a novel self-organizing motion model based on particle system mechanics and perceptual state weighting. This model enables autonomous state transitions in swarm robots, allowing them to aggregate and coordinate without centralized control. While his citation count is modest, his contributions address fundamental challenges in decentralized robotics, particularly in target hunting and aggregation behaviors. Zeng’s work is notable for bridging theoretical mechanics with practical swarm intelligence, offering a framework that could advance applications in search-and-rescue, environmental monitoring, and autonomous exploration. His research underscores the potential of bio-inspired, self-organizing principles to enhance the adaptability and efficiency of multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1Research on Self-Organizing Target Hunting for Mobile Robot Group6 citations · 2018