Meng Zhe Liu
Papers
1
Total Citations
3
H-Index
1
About
Meng Zhe Liu is a researcher in robotics and autonomous systems, with a particular focus on motion planning and control in dynamic environments. His most cited work, "The Study of Soccer Robot Path Planning Based on Grid-Based Potential Field Method Improvements" (2010), addresses a core challenge in multi-agent robotics: navigating fast-moving, unpredictable obstacles. Liu proposed an improved dynamic Grid-based potential field method that integrates the strengths of traditional potential field approaches with grid-based environmental representation. This hybrid technique allows robots to effectively plan paths in real-time, accounting for the motion of goals, teammates, and opponents—a critical requirement in competitive robotics like soccer. Although his citation count is modest, with 3 citations for this paper, the work demonstrates early engagement with foundational problems in autonomous navigation. Liu’s contribution lies in refining classical algorithms for practical, high-speed scenarios, offering a pragmatic solution that balances computational efficiency with reactive control. His research is particularly relevant for students and engineers working on mobile robot navigation, multi-robot coordination, or real-time path planning in cluttered, dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1