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.
May 24, 2018
Congratulations to Preston Culbertson and Mac Schwager for winning the 2018 IEEE ICRA Best Paper Award in Robot Manipulation!
May 19, 2018
Open source code on multi-quadcopter cooperative object transport released at Github: https://github.com/StanfordMSL/QuadsManip
June 8, 2017
Congratulations to Xiaodong Lan and Mac Schwager for winning the 2016 King-Sun Fu Memorial IEEE Transactions on Robotics Best Paper Award!