Jonathan How
Richard C. Maclaurin Professor of Aeronautics and Astronautics, Department of Aeronautics and Astronautics
![](https://mitibmwatsonailab.mit.edu/wp-content/uploads/2020/03/Headshot-Faculty-JonHow-1-scaled-aspect-ratio-575-575-576x576-c-default.jpeg)
Jonathan P. How is the Richard C. Maclaurin Professor of Aeronautics and Astronautics in MIT’s Department of Aeronautics and Astronautics. His research interests include navigation and control; design and implementation of distributed robust planning algorithms to coordinate multiple autonomous vehicles in dynamic uncertain environments; adaptive flight control to enable autonomous agile flight and aerobatics and experimental and theoretical robust control. He is a fellow of the American Institute of Aeronautics and Astronautics (AIAA) and the Institute of Electrical and Electronics Engineers, and has received the 2020 AIAA Intelligent Systems Award. He earned a BS from the University of Toronto, and an SM and PhD from MIT.
Selected Publications
- Tian, Y., & How, J. P. (2024). Spectral sparsification for Communication-Efficient collaborative rotation and Translation estimation. IEEE Transactions on Robotics, 40, 257–276. https://doi.org/10.1109/tro.2023.3327635
- Tagliabue, A., Kondo, K., Zhao, T., Peterson, M. P., Tewari, C. T., & How, J. P. (2023). REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots. 2nd Workshop on Language and Robot Learning: Language as Grounding. https://doi.org/10.48550/arxiv.2311.01403
- Ankenbauer, J., Lusk, P. C., Thomas, A., & How, J. P. (2023). Global Localization in Unstructured Environments Using Semantic Object Maps Built from Various Viewpoints. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). https://doi.org/10.1109/iros55552.2023.10342267
Videos