Max Robotics — Global Service Robot Directory + US Certification

About

Ying Lan is a leading researcher in multi-robot systems and cooperative control, with a focus on distributed coordination, target tracking, and motion planning. Her work addresses fundamental challenges in enabling autonomous robot swarms to collaboratively pursue, enclose, or intercept moving targets. Lan’s most influential paper, "Distributed control of cooperative target enclosing based on reachability and invariance analysis" (147 citations), provides a rigorous framework for ensuring that multiple robots can safely and reliably surround a target. She has also pioneered hybrid control approaches that allow robots to switch between long-range pursuit and close-range coordination, as demonstrated in her work on cooperative target tracking (17 citations) and multi-robot coordinated path following (8 citations). Her research on dynamic assignment and local coordination for intercepting multiple evading targets (11 citations) further advances the field’s ability to handle complex, adversarial scenarios. Additionally, Lan has explored the synthesis of output feedback control to satisfy linear temporal logic specifications (7 citations), bridging motion planning with formal verification. Her contributions are highly cited and have laid important groundwork for applications in surveillance, search-and-rescue, and autonomous exploration.