Papers

19

Total Citations

548

H-Index

9

About

Jinyan Shao is a robotics and autonomous systems researcher whose work spans multi-robot coordination, biomimetic robotics, and intelligent control. He is best known for his pioneering contributions to leader-following formation control, having developed a influential three-level hybrid control architecture enabling both centralized and decentralized cooperative control of autonomous mobile vehicles and robots. His 2007 paper on formation control of multiple mobile vehicles has accumulated 251 citations, establishing it as a landmark reference in the field, while his complementary work on mobile robots (90 citations) and tracking controllers for nonholonomic systems further cemented his authority in multi-agent coordination. Beyond conventional robotics, Shao has made notable strides in biomimetic robotic fish, developing cooperative platforms that integrate hydrodynamic modeling with robotic control to replicate natural fish locomotion and collective behavior. His obstacle avoidance frameworks inspired by fluid dynamics demonstrate a creative cross-disciplinary approach to robot navigation. More recently, his research has evolved toward data-driven methods, including Koopman operator-based autonomous controller generation and surgical robotics, with a spatially compact navigation system designed for oral and maxillofacial surgery. Across his career, Shao's cumulative citation impact reflects sustained influence bridging theoretical control design and real-world robotic applications.

Research Focus

Key Achievements

9
H-Index
19
Papers
548
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Leader-following formation control of multiple mobile vehicles
251 citations · 2007
📈 Most Prolific Year: 2007 (7 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Peking University, Nanchang University, IBM Research (China)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago