Minghao Zeng
Papers
1
Total Citations
14
H-Index
1
About
Minghao Zeng is a robotics researcher whose work focuses on the intersection of motion planning, optimal control, and autonomous navigation for mobile robots in complex, unstructured environments. His most-cited paper, "Efficient Online Planning and Robust Optimal Control for Nonholonomic Mobile Robot in Unstructured Environments" (2024), has already garnered 14 citations—a strong early indicator of impact in a fast-moving field. In this work, Zeng addresses a critical challenge: enabling nonholonomic robots to plan and execute safe, efficient trajectories in real time when faced with unpredictable obstacles and uneven terrain. By integrating online planning with robust control strategies, his approach enhances both the speed and reliability of autonomous navigation, moving beyond traditional methods that struggle with dynamic or cluttered settings. This contribution is particularly relevant for applications in search-and-rescue, agricultural robotics, and autonomous logistics. Zeng’s research is notable for its practical emphasis on bridging theoretical control algorithms with real-world hardware constraints, making his work valuable for both academic researchers and industry engineers developing next-generation mobile robots.
Research Focus
Key Achievements
Top Papers
- 1