Teng Meng
Papers
1
Total Citations
13
H-Index
1
About
Teng Meng is a rising researcher in autonomous robotics, specializing in path planning and navigation for mobile robots in complex, dynamic environments. His most-cited work, "Improvement and Fusion of D*Lite Algorithm and Dynamic Window Approach for Path Planning in Complex Environments" (2024, 13 citations), introduces a novel hybrid algorithm that synergizes global and local planning strategies. By enhancing the D*Lite algorithm’s global efficiency and fusing it with the Dynamic Window Approach’s local adaptability, Meng addresses critical limitations in traditional methods—such as poor real-time performance and obstacle avoidance in cluttered settings. This contribution offers a more robust, computationally efficient solution for autonomous navigation, with potential applications in service robots, warehouse automation, and search-and-rescue missions. While his citation count is still growing, Meng’s work demonstrates a clear focus on bridging theoretical planning algorithms with practical, real-world deployment, marking him as a promising contributor to the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1