Mingming Wang
Papers
1
Total Citations
30
H-Index
1
About
Mingming Wang is an emerging researcher in the field of autonomous multi-robot systems, with a focused expertise in cooperative control and aerial robotics. His most notable work addresses one of the central challenges in swarm robotics: enabling multiple unmanned aerial vehicles to intelligently navigate complex environments while maintaining coordinated formation. His 2023 paper, "Distributed Cooperative Obstacle Avoidance and Formation Reconfiguration for Multiple Quadrotors: Theory and Experiment," bridges the gap between theoretical control frameworks and real-world implementation — a distinction that significantly elevates its value to the research community. By demonstrating that distributed algorithms can simultaneously handle obstacle avoidance and dynamic formation reconfiguration in physical quadrotor systems, Wang has contributed meaningfully to the practical deployment of multi-UAV platforms. Accumulating 30 citations since its publication, this work has already attracted notable attention within the robotics and control systems communities. Wang's research sits at the intersection of multi-agent systems, flight control theory, and experimental validation, positioning him as a promising contributor to the growing field of intelligent autonomous aerial systems.
Research Focus
Key Achievements
Top Papers
- 1