Papers
2
Total Citations
18
H-Index
2
About
Qihai Sun is a researcher in robotics and control systems, focusing on the coordination and optimization of mobile robot networks. His primary research areas include coverage control, multi-robot systems, and dynamic environment adaptation. Sun’s major contributions lie in advancing area coverage control problems (ACCP) by introducing novel metrics and robust control methods. In his most-cited work, "Observer-Based coverage control of unicycle mobile robot network in dynamic environment" (2022, 14 citations), he developed a method to manage robot networks under time-varying conditions, enhancing their ability to respond to environmental changes. His subsequent paper, "Fixed-Time Coverage Control of Mobile Robot Networks Considering the Time Cost Metric" (2022, 4 citations), proposed a coverage control approach that incorporates time cost as a key metric, addressing input disturbances and dynamic risk density functions. This work demonstrates his ability to tackle practical challenges in real-world applications, such as search-and-rescue or environmental monitoring. Sun’s research is notable for its focus on fixed-time convergence and observer-based strategies, offering scalable solutions for autonomous systems. His work is impactful for students and researchers interested in multi-agent coordination, offering a blend of theoretical rigor and practical relevance in dynamic environments.
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Top Papers
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