Papers
1
Total Citations
2
H-Index
1
About
Peilin Qin is a researcher focused on advancing the control and coordination of robotic systems, with a particular emphasis on adaptive and robust formation tracking in uncertain environments. Their most notable contribution lies in addressing the complex challenges of multi-robot collaboration, specifically through the development of adaptive robust formation tracking control for traffic cone robots (TCRs) under uncertain disturbances, including leakage and dead-zone nonlinearities. This work, published in 2025, is pioneering in its application of robust control theory to enhance the safety and reliability of autonomous road maintenance systems. Although early in its publication cycle, this research has already garnered attention with 2 citations, signaling its relevance to the growing field of intelligent infrastructure and autonomous construction. By tackling real-world uncertainties that plague robotic swarms, Qin’s work lays a critical foundation for deploying autonomous traffic management solutions, directly impacting road safety and operational efficiency. Their research bridges theoretical control engineering with practical deployment challenges, marking them as an emerging voice in adaptive robotics and cyber-physical systems.
Research Focus
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Top Papers
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