JONATHAN P HOW

Full Professor, Aero/Astro, Massachusetts Institute of Technology

Joined

May 2020

Names

JONATHAN P HOW (Preferred)

Jonathan P. How

Emails

****@gmail.com (Confirmed)

****@mit.edu (Confirmed)

Personal Links

Career & Education History

Full Professor

Aero/Astro, Massachusetts Institute of Technology (mit.edu)

2009 – 2026

Assistant Professor

Aero/Astro, Massachusetts Institute of Technology (mit.edu)

2000 – 2009

Assistant Professor

Aero/Astro, Stanford University (stanford.edu)

1994 – 2000

Postdoc

Massachusetts Institute of Technology (mit.edu)

1993 – 1994

PhD student

Massachusetts Institute of Technology (mit.edu)

1990 – 1993

MS student

Massachusetts Institute of Technology (mit.edu)

1987 – 1990

Advisors, Relations & Conflicts

Postdoc Advisor

Edward Crawley

1993 – 1994

PhD Advisor

Steven Hall

1987 – 1992

Expertise

Multiagent Systems

Present

Reinforcement Learning

Present

Decentralized fusion

Present

Publications

Advancing AI Challenges for the United States Department of the Air Force*.
Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone, Zachary Folcik, J. Daniel Griffith, Michael Houle 0001, Jonathan P. How, Nathan Hughes, Ifueko Igbinedion, Hayden Jananthan, Tejas Jayashankar, Michael Jones 0001, Sertac Karaman, Binoy G. Kurien, Alejandro Lancho, Giovanni Lavezzi, Gary C. F. Lee, Charles E. Leiserson et al. (18 additional authors not shown)
- HPEC 2025
- Readers: Everyone
GRAM: Generalization in Deep RL With a Robust Adaptation Module
James Queeney, Xiaoyi Cai, Alexander Schperberg, Radu Corcodel, Mouhacine Benosman, Jonathan P. How
- IEEE Robotics Autom. Lett. 2026
- Readers: Everyone
GRAND-SLAM: Local Optimization for Globally Consistent Large-Scale Multi-Agent Gaussian SLAM
Annika Thomas, Aneesa Sonawalla, Alex Rose, Jonathan P. How
- IEEE Robotics Autom. Lett. 2025
- Readers: Everyone
SDP Synthesis of Distributionally Robust Backward Reachable Trees for Probabilistic Planning
Naman Aggarwal, Jonathan P. How
- IEEE Trans. Autom. Control. 2025
- Readers: Everyone
Navigation Around Unknown Space Objects Using Visible-Thermal Image Fusion
Eric J. Elias, Michael Esswein, Jonathan P. How, David W. Miller
- CoRR 2025
- Readers: Everyone
Advancing AI Challenges for the United States Department of the Air Force
Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone, Zachary Folcik, J. Daniel Griffith, Michael Houle, Jonathan P. How, Nathan Hughes, Ifueko Igbinedion, Hayden Jananthan, Tejas Jayashankar, Michael Jones, Sertac Karaman, Binoy G. Kurien, Alejandro Lancho, Giovanni Lavezzi, Gary C. F. Lee, Charles E. Leiserson et al. (18 additional authors not shown)
- CoRR 2025
- Readers: Everyone
Off-Road Navigation via Implicit Neural Representation of Terrain Traversability
Yixuan Jia, Qingyuan Li, Jonathan P. How
- CoRR 2025
- Readers: Everyone
Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis
Karan Mahesh, Tyler M. Paine, Max L. Greene, Nicholas Rober, Steven Lee, Sildomar T. Monteiro, Anuradha Annaswamy, Michael R. Benjamin, Jonathan P. How
- IEEE Trans. Control. Syst. Technol. 2025
- Readers: Everyone
MIGHTY: Hermite Spline-based Efficient Trajectory Planning
Kota Kondo, Yuwei Wu, Vijay Kumar, Jonathan P. How
- CoRR 2025
- Readers: Everyone
Efficient Probabilistic Planning with Maximum-Coverage Distributionally Robust Backward Reachable Trees
Alex Rose, Naman Aggarwal, Christopher Jewison, Jonathan P. How
- CoRR 2025
- Readers: Everyone

View all 559 publications

Co-Authors

View all 532 co-authors