Bo-Yu Chen
Papers
1
Total Citations
22
H-Index
1
About
Bo-Yu Chen is a leading researcher in multi-robot systems and autonomous mission planning, with a focus on optimizing the coordination of unmanned vehicle swarms under real-world constraints. His most cited work, "A Hybrid Tabu Search and 2-opt Path Programming for Mission Route Planning of Multiple Robots under Range Limitations" (2020, 22 citations), addresses a critical challenge in robotics: how to efficiently deploy multiple robots with limited battery power across large-scale mission areas. By integrating tabu search with 2-opt path optimization, Chen developed a novel algorithm that significantly improves route efficiency and task completion rates for robot swarms. This contribution is pivotal for applications in search-and-rescue, environmental monitoring, and military operations, where range limitations often hinder single-vehicle performance. Chen’s research demonstrates how hybrid metaheuristics can overcome computational and physical constraints, advancing the practical deployment of multi-robot systems. His work has been recognized for its impact on autonomous logistics and swarm intelligence, making him a notable figure in the field of robotics and operations research.
Research Focus
Key Achievements
Top Papers
- 1