Longfei Su
Papers
1
Total Citations
5
H-Index
1
About
Longfei Su is a researcher specializing in multi-robot systems, formation control, and adaptive obstacle avoidance in constrained environments. His most impactful work addresses the critical challenge of navigating robot formations through narrow alleyways, where traditional collision-avoidance methods often fail. In his highly cited 2023 study, Su developed an innovative adaptive obstacle avoidance control strategy that integrates a formation decision mechanism with a model predictive control (MPC)-based formation controller. This approach allows a team of robots to dynamically adjust their formation and safely traverse tight spaces, significantly enhancing operational robustness in real-world scenarios like warehouse logistics or search-and-rescue missions. With 5 citations, this paper has already garnered attention for its practical, solution-oriented design. Su’s contributions lie at the intersection of theoretical control design and applied robotics, offering a scalable framework for autonomous systems operating in cluttered, unpredictable environments. His work is a valuable resource for students and researchers interested in decentralized coordination, MPC, and the future of cooperative robotics.
Research Focus
Key Achievements
Top Papers
- 1