Gangshan Jing
Papers
1
Total Citations
22
H-Index
1
About
Gangshan Jing is a rising scholar in the field of multi-agent systems and distributed control, with a particular focus on formation control under complex sensing constraints. His work addresses fundamental challenges in coordinating autonomous agents—such as drones or robots—when they operate under directed, non-triangulated sensing graphs, a scenario that mirrors real-world limitations in communication and perception. His most-cited paper, "Angle-constrained formation control under directed non-triangulated sensing graphs" (2024), has already garnered 22 citations, signaling its timely impact on the control theory community. Jing’s contributions lie in developing rigorous mathematical frameworks that enable agents to achieve desired geometric formations using only local angle measurements, even when traditional triangulation-based methods fail. This work has practical implications for swarm robotics, surveillance, and autonomous navigation. By pushing the boundaries of graph theory and nonlinear control, Jing is helping to make decentralized coordination more robust and scalable. His research is particularly notable for its theoretical depth and potential to influence next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1