Jinyu Fu
Papers
1
Total Citations
23
H-Index
1
About
Jinyu Fu is a leading researcher in multirobot systems and autonomous navigation, with a focus on cooperative path planning and task allocation under complex constraints. Their most-cited work, "Multirobot Cooperative Path Optimization Approach for Multiobjective Coverage in a Congestion Risk Environment" (2023, 23 citations), addresses the critical challenge of coordinating multiple robots to achieve coverage objectives while navigating obstacle-laden, congestion-prone environments. Fu introduced an improved probabilistic roadmap (PRM*) algorithm that eliminates inefficient zig-zag paths near endpoints, significantly enhancing path smoothness and operational efficiency. This contribution is vital for applications in search-and-rescue, environmental monitoring, and industrial automation, where robust, collision-free multirobot coordination is essential. By integrating congestion risk assessment with multiobjective optimization, Fu’s work advances the theoretical and practical foundations of swarm robotics. Their research continues to influence the development of scalable, real-time navigation strategies for heterogeneous robot teams, making them a notable figure in the field of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1