Jon How

Papers

Total Citations

H-Index

About

Jon How is a leading figure in autonomous systems and control theory, renowned for his pioneering work in cooperative vehicle coordination and robust decision-making under uncertainty. His research spans multi-vehicle systems, spacecraft formation flying, and machine learning for control, with a particular emphasis on enabling resilient, real-time autonomy in complex environments. How’s seminal contributions include developing model-based reactive programming for cooperative vehicles, as demonstrated in his highly cited 2001 paper on Mars exploration, which laid the groundwork for coordinating heterogeneous robotic teams in uncertain settings. With over 22,000 citations and an h-index exceeding 70, his impact is profound, influencing both academic theory and practical deployments in aerospace and robotics. He is also celebrated for his leadership in the MIT Aerospace Controls Lab, where he has mentored numerous students who now lead their own research groups. Notably, How’s work on the SPHERES and RACER satellite programs has advanced autonomous spacecraft operations, earning him recognition as a Fellow of the IEEE and AIAA. His research continues to shape the future of intelligent, cooperative autonomous systems.