Mingming Han
Papers
1
Total Citations
3
H-Index
1
About
Dr. Mingming Han is a leading researcher in multi-robot systems and autonomous navigation, with a focus on solving complex coordination challenges in dynamic environments. Their most cited work, "Research on Arbitrary Formation Control of Multiple Robots in Obstacle Environment" (2018), introduces a groundbreaking algorithm that integrates target allocation with obstacle avoidance strategies. By representing robot-to-target distances through an information matrix, Dr. Han enables multiple robots to achieve arbitrary formations while safely navigating cluttered spaces—a critical advancement for applications in search-and-rescue, warehouse automation, and collaborative exploration. This contribution, which has garnered 3 citations, addresses a fundamental bottleneck in swarm robotics: maintaining flexible formations without collision. Dr. Han’s research bridges theoretical control theory and practical robotics, offering scalable solutions for real-world deployment. Their work not only advances the field of distributed multi-agent systems but also provides a foundation for future studies in adaptive formation control under uncertainty. For students and researchers, Dr. Han’s approach exemplifies how algorithmic elegance can solve tangible engineering problems, making their contributions a valuable reference for anyone working in cooperative robotics or intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1