Welcome

About Us

The Automatic Coordination of Teams (ACT) Lab is part of the Robotics and Autonomous Systems Center (RASC) at USC.

ACT Lab conducts research in the area of coordinated multi-agent systems. The common theme behind our different research threads is that we provide theoretically sound solutions to practically motivated problems.

Research at the ACT Lab is organized in four main areas:

  • planning and control of multi-robot systems
  • automatic control synthesis
  • coordination of teams of robots
  • end-to-end solutions for multi-robot coordination

The research of ACT is supported by Office of Naval Research (ONR), Army Research Laboratory (ARL), and National Science Foundation (NSF).

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Recent Highlights

Our Crazyswarm research is featured at USA Today
March 2017

Our paper "Crazyswarm: A Large Nano-Quadcopter Swarm" was accepted to IEEE ICRA 2017
January 2017

Our paper "Seamless Robot Simulation Integration for Education: A Case Study" has been accepted at the workshop on the Role of Simulation in Robot Programming at SIMPAR 2016.
November 2016

Our book chapter "Flying Multiple UAVs Using ROS" will appear in the Springer Book on Robot Operating System (ROS) 2017
November 2016

Our Crazyswarm was Accepted to Appear in IEEE IROS 2016 Late Breaking
August 2016

Dr. Ayanian Selected by MIT Technology Review as a TR35 Top Innovator
August 2016

Two of our submissions were accepted to IROS!
July 2016

Our paper "Multi-Agent Path Finding with Kinematic Contraints" wins Best Paper in Robotics Track at ICAPS
March 2016

Our paper "Multi-Agent Path Finding with Kinematic Contraints" was accepted to ICAPS
January 2016

ACT Lab featured in the inside cover of the USC Viterbi magazine
November 2015

Paper Accepted to Appear in IEEE IROS 2015
July 2015

Dr. Ayanian Honored in Inaugural Mic 50
June 2015

Our Paper is Accepted to Appear in IEEE CASE 2015
May 2015

Dr. Ayanian wins the Hanna Reisler Mentorship Award
April 2015

Undergrads in the ACT Lab Receive WiSE Research Awards
April 2015

Winning the Best Demo Award in the Annual Research Review
March 2015