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Welcome to the Multi-robot Systems Lab (MSL) at Stanford University.  We study distributed algorithms for control, sensing, and learning in groups of robots and animals. Our current and past research topics include:

– Distributed controllers for the deployment of mobile sensor networks
– Agile coordinated multi-robot control
– Multi-robot control with adversaries and environmental hazards
– Persistent monitoring and persistent environmental sampling with robots
– Information based active sensing and estimation
– Multi-robot manipulation

You can learn more about our research on the Projects page, or read some of our Publications.

Recent News

March 18, 2020

Congratulations to Nathan Usevitch, whose paper was pubished in Science Robotics, and was covered by the Stanford Press Office, IEEE Spectrum, TechXplore, and others.

February 5, 2019

Congratulations to Dr. Zijian Wang for successfully defending his PhD thesis!

May 24, 2018

Congratulations to Preston Culbertson and Mac Schwager for winning the 2018 IEEE ICRA Best Paper Award in Robot Manipulation!