Papers
1
Total Citations
3
H-Index
1
About
Meng He is a researcher advancing the frontiers of autonomous robotics, with a primary focus on safety-critical control systems for multi-robot formations. His most cited work introduces a novel model predictive control framework that enables wheeled mobile robot teams to perform trajectory tracking and obstacle avoidance in real-time, even within confined spaces—a challenge that traditional offline optimization methods fail to address. By integrating safety constraints directly into the online control loop, He’s approach ensures robust, collision-free navigation without sacrificing computational efficiency. This contribution is particularly impactful for applications in warehouse logistics, search-and-rescue operations, and autonomous transportation. With 3 citations already in a short time, his work is gaining recognition for bridging the gap between theoretical safety guarantees and practical deployment. He continues to push the boundaries of cooperative robotics, aiming to make autonomous formations safer and more reliable in dynamic, real-world environments.
Research Focus
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Top Papers
- 1