Yupei Liu
Papers
1
Total Citations
4
H-Index
1
About
Yupei Liu is a researcher in multi-agent systems and nonlinear control, with a focus on cooperative robotics over signed networks. Their key contributions lie in bipartite formation control, where agents with nonholonomic constraints—such as wheeled robots—must achieve desired formations despite cooperative and antagonistic interactions. In their most cited work, Liu introduced a novel approach to leader-following bipartite formation by transforming the nonholonomic robot dynamics into a linear hand position subsystem, enabling distributed control laws that handle underactuation and signed graph topologies. This work, published in 2021, has garnered 4 citations and addresses fundamental challenges in heterogeneous robot teams. Liu’s research bridges graph theory and nonlinear control, offering practical solutions for multi-robot coordination in adversarial or mixed-trust environments. Their contributions are particularly relevant for applications in surveillance, exploration, and autonomous swarm systems where robots must navigate both cooperative and competitive interactions.
Research Focus
Key Achievements
Top Papers
- 1