Qing Ling
Papers
1
Total Citations
8
H-Index
1
About
Qing Ling is a leading researcher in multi-robot systems and cooperative control, with a focus on formation tracking and obstacle avoidance. Their most-cited work, "Formation Control with Obstacle Avoidance of Multi-Robot Systems with Second-Order Dynamics" (2019, 8 citations), introduces a novel approach that integrates leader-follower protocols with potential field methods to enable safe, dynamic formation navigation. A key contribution is the use of a switching rule that allows robots to seamlessly transition between formation maintenance and obstacle evasion, addressing a critical challenge in real-world multi-agent coordination. This work has been influential in advancing the robustness and adaptability of autonomous robot swarms, particularly in cluttered environments. Ling’s research bridges theoretical control design and practical implementation, offering scalable solutions for applications in search-and-rescue, surveillance, and industrial automation. By tackling second-order dynamics—which model real robotic systems more accurately than simpler first-order models—Ling has provided foundational insights that continue to inspire further studies in decentralized coordination and safety-critical autonomy.
Research Focus
Key Achievements
Top Papers
- 1