Zhaokun Xie
Papers
1
Total Citations
6
H-Index
1
About
Zhaokun Xie is a researcher in robotics and autonomous systems, with a primary focus on multi-robot coordination, motion planning, and obstacle avoidance in dynamic environments. His most cited work, "Multi-robot Rounding Strategy Based on Artificial Potential Field Method in Dynamic Environment" (2019), introduces an improved artificial potential field approach that enhances real-time obstacle avoidance and formation control for robotic swarms. This strategy leverages the method's strong online computational capabilities and fast local processing, enabling multiple robots to navigate complex, changing settings while maintaining formation integrity. Although his citation count is currently modest, his contributions address a critical challenge in multi-agent systems—balancing real-time responsiveness with robust coordination. Xie's research holds practical implications for applications such as search-and-rescue operations, warehouse automation, and autonomous convoy management. By advancing the artificial potential field method, he has provided a foundation for more adaptive and efficient multi-robot systems, making his work a valuable reference for students and researchers exploring decentralized control strategies in robotics.
Research Focus
Key Achievements
Top Papers
- 1