Latest News

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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

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ACL Hosts Visitors for MIT's 100th Anniversary in Cambridge Open House! -- May 5, 2016

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ACL Paper Wins AeroLion Technologies Outstanding Paper Award for Unmanned Systems! -- December 9, 2015

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ACL Wins IEEE Control Systems Society Video Clip Contest 2015! -- October 9, 2015

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ICRA 2015 Trailer features demonstration shot in ACL! -- April 23, 2015

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ACL Participates in Across MIT Open House 2015! -- April 21, 2015

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ACL Lab Competition 2015 Ends Successfully! -- February 6, 2015

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ACL Alum Girish Chowdhary wins AFOSR (Air Force Office of Scientific Research) YIP (Young Investigator Research Program) Award! -- January 20, 2015

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ACL Graduate Brandon Luders Accepts AIAA Best Paper Award for the 2013 Infotech@Aerospace Conference -- January 6, 2015

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AeroAstro Centennial Session on Intelligent/Autonomous Systems -- October 29, 2014

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Work of ACL Students Featured in MIT News! -- October 29, 2014

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Work of ACL Alumnus and Airware CTO Buddy Michini featured in MIT News! -- September 11, 2014

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ACL Package Delivery Paper Featured in MIT News! -- August 21, 2014




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.


Director

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 senior member of IEEE.

Links: Homepage, Google Scholar page