Lurong Jiang
Papers
1
Total Citations
9
H-Index
1
About
Lurong Jiang is a researcher in robotics and artificial intelligence, with a primary focus on multi-robot systems and path planning in complex environments. Their most significant contribution is the development of the Genetic Multi-Robot Path Planning (GMPP) algorithm, which intelligently combines genetic algorithms with path safety and length constraints to optimize navigation for multiple robots in obstacle-rich settings. This work, published in 2021 and cited 9 times, addresses critical challenges in large-scale, dynamic environments where traditional planning methods fall short. By ensuring both path safety and feasibility, Jiang’s approach has practical implications for warehouse automation, search-and-rescue missions, and autonomous vehicle coordination. Their research stands out for its innovative use of evolutionary computation to solve real-world multi-agent coordination problems, offering a scalable solution that balances efficiency with robustness. Jiang’s work continues to influence the field of swarm robotics and intelligent systems, providing a foundation for future advances in autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1