Latest News

Trevor Campbell joins UBC Statistics faculty as assistant professor -- April 17, 2018

NIPS 2017
ACL Alum to fly F-35 -- March 1, 2018

NIPS 2017AAMAS 2018
ACL at NIPS 2017 and AAMAS 2018! -- January 24, 2018

Four papers accepted to ICRA 2018 -- January 14, 2018

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Jackal, the Socially-Aware Robot, Featured on Discovery Channel, Reuters -- January 8, 2018

Prof. Jonathan How elevated to IEEE Fellow -- December 7, 2017

ACL moves into renovated Building 31 -- September 21, 2017

Steven Chen wins Best Student Paper at IROS 2017 -- August 29, 2017

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Socially-aware navigation featured on MIT Homepage, IEEE Spectrum -- August 29, 2017

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ACL finalist for ICRA Best Multi-Robot Systems Paper Award 2017! -- June 6, 2017

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Ford-ACL Mobility Project Featured on CBS Boston! -- August 18, 2016

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Ford-ACL Mobility Project Partnership! -- July 28, 2016

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Plenary talk by Prof. Jonathan How at CCDC 2016! -- May 28, 2016

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ACL at ICRA 2016! -- May 16, 2016

About ACL

professor Jonathan How
The Aerospace Controls Laboratory (ACL) researches 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; sensor network design; robust control, adaptive control, and model predictive control. A key part of ACL is RAVEN (Real-time indoor Autonomous Vehicle test ENvironment), a unique experimental facility that uses a Vicon motion capture sensing to enable rapid prototyping of aerobatic flight controllers for helicopters and aircraft; robust coordination algorithms for multiple helicopters; and vision-based sensing algorithms for indoor flight.


professor Jonathan How
Dr. Jonathan P. How is the Richard C. Maclaurin Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology. He received a B.A.Sc. from the University of Toronto in 1987 and his S.M. and Ph.D. in Aeronautics and Astronautics from MIT in 1990 and 1993, respectively. He then studied for two years at MIT as a postdoctoral associate for the Middeck Active Control Experiment (MACE) that flew onboard the Space Shuttle Endeavour in March 1995. Prior to joining MIT in 2000, he was an Assistant Professor in the Department of Aeronautics and Astronautics at Stanford University. He has graduated a total of 44 Ph.D. students while at MIT and Stanford University on topics related to GPS navigation, multi-vehicle control, and robust/hybrid control.

Professor How was the planning and control lead for the MIT DARPA Urban Challenge team that placed fourth in the 2007 race at Victorville, CA. Other research interests include: (1) Design and implementation of distributed robust planning algorithms to coordinate multiple autonomous vehicles in dynamic uncertain environments; (2) Sensor fusion and navigation; (3) Aerial robotics and agile flight; and (4) Planning and learning for real-time autonomous mechanical and aerospace applications.

Professor How currently serves as the head of the Information sector within the Department of Aeronautics and Astronautics, is the Director of the Ford-MIT Alliance, and a member of the USAF Scientific Advisory Board (SAB). He is the Editor-in-Chief of the IEEE Control Systems Magazine and an Associate Editor for the AIAA Journal of Aerospace Information Systems.

Professor How was the recipient of the 2002 Institute of Navigation Burka Award, a Boeing Special Invention award in 2008, the IFAC Automatica award for best applications paper in 2011, the AeroLion Technologies Outstanding Paper Award for the Journal Unmanned Systems in 2015, won the IEEE Control Systems Society Video Clip Contest in 2015, and received the AIAA Best Paper in Conference Awards in 2011, 2012, and 2013. He is a Fellow of AIAA and a IEEE Fellow .

Links: Homepage, Google Scholar page