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

Red Arrows Visit ACL

The RAF Aerobatics Team, the Red Arrows, performed along the Boston waterfront as part of their North American Tour. Afterward, they stopped by the ACL and spoke with Professor How about ACL’s own formation flying!

Rose Wang featured in MIT News

MIT News Article on the MIT Machine Intelligence Community features ACL SuperUROP, Rose Wang. She discusses why she joined the MIC as well as her work with ACL.


3 Papers Accepted to IROS 2019

ACL co-authored 3 papers accepted to IROS 2019! Congratulations to all authors, and enjoy the conference in Macau.


ACL Featured in Wired Magazine

ACL was recently featured in Wired Magazine’s article, The Robotic Future: Where Bots Operate Together and Learn From Each Other. Prof. Jon How discusses his vision for information sharing in robotics. Thank you, Wired!


Professor Jon How Presents at Amazon's re:MARS Conference

Professor Jon How was invited to speak at Amazon’s re:MARS conference this week in Las Vegas, NV. He discussed the lab’s current work and vision in a talk titled, Reinforcement Learning for Robots.

re:MARS Conference

Master's Student Stewart Jamieson gives talk at ICRA 2019

Stewart Jamieson gave a lightning talk titled The Pervasiveness of Deep Learning in Robotics Research Does Not Impede Scientific Insights into Robotics Problems at the Debates on the Future of Robotics Research workshop at ICRA 2019.