Papers
1
Total Citations
9
H-Index
1
About
Dr. Zikang Xu is a leading researcher in intelligent robotics, with a primary focus on advancing path planning algorithms for autonomous systems. His work addresses critical challenges in multi-objective navigation, where balancing efficiency, safety, and computational constraints is paramount. In his highly cited 2021 paper, "Path Planning based on Multi-objective Topological Map," Dr. Xu introduced a novel framework that leverages topological mapping to overcome the scalability limitations of traditional multi-objective path planning. This approach enables robots to generate near-optimal routes in complex environments, significantly improving performance where conventional methods fall short. With 9 citations, this work has already influenced subsequent studies in robotic navigation and autonomous vehicle routing. Dr. Xu’s contributions are particularly notable for their practical impact on real-world applications, from warehouse logistics to search-and-rescue operations. By integrating multi-objective optimization with topological representations, he has opened new avenues for efficient, adaptive path planning. His research continues to shape the next generation of intelligent robots, making him a key figure to watch in the field of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Path Planning based on Multi-objective Topological Map9 citations · 2021