About

Emilio Frazzoli is a pioneering researcher in autonomous systems, motion planning, and multi-robot coordination, whose work has fundamentally shaped how autonomous vehicles and robotic systems navigate complex environments. Best known for his contributions to sampling-based motion planning, Frazzoli helped advance the Rapidly-exploring Random Tree (RRT) framework — most notably through "Anytime Motion Planning using the RRT*" (2011, 871 citations) and its asymptotically optimal replanning extension, RRTX (2015, 225 citations) — transforming how robots compute efficient, near-optimal paths in real time. His 2002 work on agile autonomous vehicles (826 citations) established foundational techniques for dynamic, real-world navigation, later applied directly to MIT's DARPA Urban Challenge entry. Beyond classical planning, Frazzoli has pioneered the integration of formal methods and temporal logic into robotics, enabling provably correct robot behavior under complex symbolic specifications. His research extends to multi-agent systems, including robotic network theory and mobility-on-demand transportation (286 citations), where he addressed vehicle rebalancing in shared autonomous fleets — work with striking relevance to modern ride-sharing systems. With thousands of citations spanning autonomous driving, cooperative robotics, and urban mobility, Frazzoli's contributions represent a remarkable bridge between theoretical rigor and real-world autonomy.

Research Focus

Key Achievements

33
H-Index
85
Papers
5,589
Total Citations
66
Avg Citations/Paper
🏆 Most Cited Paper
Anytime Motion Planning using the RRT*
871 citations · 2011
📈 Most Prolific Year: 2013 (8 Papers)
🤝 Key Collaborators: 127
🏛 Institutions: Massachusetts Institute of Technology, University of Illinois Urbana-Champaign, American Institute of Aeronautics and Astronautics, Decision Systems (United States), IIT@MIT, ETH Zurich

Top Papers

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    Intention-Aware Motion Planning
    189 citations · 2013
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 42 days ago