Aerospace Controls Laboratory

Welcome to ACL

We research topics related to autonomous systems and control design for aircraft, spacecraft, and ground vehicles. Theoretical research is pursued in areas such as:

  • Decision making under uncertainty
  • Path planning, activity, and task assignment
  • Estimation and navigation
  • Robust control, adaptive control, and model predictive control
  • Machine learning and reinforcement learning methods

Recent News

Search and Rescue Work Recognized with 2019 AUVSI XCELLENCE Humanitarian Award

Congratulations to Yulun Tian for being one of 5 innovators to share the 2019 AUVSI XCELLENCE Humanitarian Award. His work, Search and Rescue under the Canopy (SARUC), aims to locate humans and materials lost in challenging and cluttered forest areas.

Award Announcement

5 Papers Accepted to ICRA 2019

ACL co-authored 5 papers accepted to ICRA 2019! Congratulations to all authors.


ACL paper about Learning to Teach won AAAI-19 Outstanding Student Paper Honorable Mention!

Congrats to Shayegan Omidshafiei, Dong Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris Amato, Murray Campbell for their paper Learning to Teach in Cooperative Multiagent Reinforcement Learning! They are looking forward to present and discuss the work at AAAI-19 this end of January.

Fleets of drones could aid searches for lost hikers - MIT News

System allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable.

MIT News Article

ACL at IROS 2018

ACL members (Björn Lütjens, Kris Frey, Macheng Shen, Michael Everett) have published works at IROS 2018!


Shayegan has graduated from ACL!

Congratulations to Shayegan Omidshafiei who has finished his PhD in Decentralized Teaching and Learning in Cooperative Multiagent Systems at ACL. Thanks for all the helpful advice to the first-years and best of all luck researching Google DeepMind in Paris!

Shayegan’s Homepage, Shayegan’s Thesis