Yutong Liu

Papers

Total Citations

H-Index

About

Yutong Liu is a researcher in robotics and control theory, with a focus on decentralized multi-agent systems and stochastic coordination. Their key contributions lie in developing probability-triggered formation control strategies that enable robot teams to operate without explicit communication, relying solely on limited-range sensors for relative positioning. This work, published in 2018 and garnering 7 citations, introduces adaptive role assignment to maintain formation integrity under sensor constraints, addressing a critical challenge in autonomous swarm robotics. Liu also explores stochastic control and time scheduling for irregular robots, a 2021 study that extends coordination principles to non-standard robotic platforms. Their research is notable for advancing the theoretical foundations of distributed control in communication-denied environments, with implications for search-and-rescue, environmental monitoring, and space exploration. By emphasizing autonomy and robustness, Liu’s work contributes to the growing field of resilient multi-robot systems, offering practical pathways for deploying robot teams in real-world conditions where reliable communication is unavailable.