World's Best Scientists 2026 revealed!
Emilio Frazzoli

Emilio Frazzoli

Award Badge
Electronics and Electrical Engineering
Switzerland
2026
Award Badge
Mechanical and Aerospace Engineering
Switzerland
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
85
Citations
36996
World Ranking
145
National Ranking
6

Electronics and Electrical Engineering

D-Index
87
Citations
37454
World Ranking
341
National Ranking
10

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2026 - Research.com Mechanical and Aerospace Engineering in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2019 - IEEE Fellow For contributions to motion planning and control of autonomous vehicles
  • 2017 - IEEE Kiyo Tomiyasu Award “For contributions to planning, control, and fleet operation algorithms for autonomous vehicles.”

Overview

Emilio Frazzoli is affiliated with ETH Zurich in Switzerland. Their research primarily focuses on areas within engineering and computer science, with significant contributions to control and systems engineering, artificial intelligence, computational theory and mathematics, automotive engineering, and transportation.

The main topics covered in their work include:

  • Formal Methods in Verification
  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization
  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Modular Robots and Swarm Intelligence
  • Reinforcement Learning in Robotics

Frazzoli's recent papers exhibit a focus on vehicle automation, transportation systems, and robotic multi-agent policies. Selected recent publications include:

  • Impact of vehicle automation and electric propulsion on production costs for mobility services worldwide, 2020, Transportation Research Part A Policy and Practice
  • Quantifying the Efficiency of Ride Sharing, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Improved public transportation in rural areas with self-driving cars: A study on the operation of Swiss train lines, 2020, Transportation Research Part A Policy and Practice
  • From driverless dilemmas to more practical commonsense tests for automated vehicles, 2021, Proceedings of the National Academy of Sciences
  • The +1 Method: Model-Free Adaptive Repositioning Policies for Robotic Multi-Agent Systems, 2020, IEEE Transactions on Network Science and Engineering

Frequent co-authors who have collaborated extensively with Frazzoli include:

  • Andrea Censi
  • Gioele Zardini
  • Abolfazl Lavaei
  • Alessandro Zanardi
  • Saverio Bolognani

Their work has been published in various venues, with multiple publications appearing in the following:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Control Systems Letters
  • Repository for Publications and Research Data (ETH Zurich)
  • Transportation Research Part A Policy and Practice

Frazzoli has been recognized with notable awards including the IEEE Fellow distinction awarded in 2019 for contributions to motion planning and control of autonomous vehicles. Earlier, in 2017, they received the IEEE Kiyo Tomiyasu Award for work related to planning, control, and fleet operation algorithms for autonomous vehicles.

Best Publications

  • Sampling-based algorithms for optimal motion planning

    Sertac Karaman;Emilio Frazzoli

  • A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles

    Brian Paden;Michal Cap;Sze Zheng Yong;Dmitry Yershov

  • Distributed Event-Triggered Control for Multi-Agent Systems

    D. V. Dimarogonas;E. Frazzoli;K. H. Johansson

  • On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment

    Javier Alonso-Mora;Samitha Samaranayake;Alex Wallar;Emilio Frazzoli

  • Real-Time Motion Planning for Agile Autonomous Vehicles

    Emilio Frazzoli;Munther A. Dahleh;Eric Feron

  • Real-Time Motion Planning With Applications to Autonomous Urban Driving

    Y. Kuwata;S. Karaman;J. Teo;E. Frazzoli

  • Anytime Motion Planning using the RRT

    Sertac Karaman;Matthew R. Walter;Alejandro Perez;Emilio Frazzoli

  • Incremental Sampling-based Algorithms for Optimal Motion Planning.

    Sertac Karaman;Emilio Frazzoli

  • A perception-driven autonomous urban vehicle

    John Leonard;Jonathan How;Seth Teller;Mitch Berger

  • Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore

    Kevin Spieser;Kyle Ballantyne Treleaven;Rick Zhang;Emilio Frazzoli

  • Maneuver-based motion planning for nonlinear systems with symmetries

    E. Frazzoli;M.A. Dahleh;E. Feron

  • Optimal kinodynamic motion planning using incremental sampling-based methods

    Sertac Karaman;Emilio Frazzoli

  • Symbolic planning and control of robot motion [Grand Challenges of Robotics]

    C. Belta;A. Bicchi;M. Egerstedt;E. Frazzoli

  • A Perception Driven Autonomous Urban Robot

    John Leonard;Jonathan How;Seth Teller;Mitch Berger

  • Robotic load balancing for mobility-on-demand systems

    Marco Pavone;Stephen L Smith;Emilio Frazzoli;Daniela Rus

  • Trajectory tracking control design for autonomous helicopters using a backstepping algorithm

    E. Frazzoli;M.A. Dahleh;E. Feron

  • Resolution of conflicts involving many aircraft via semidefinite programming

    E. Frazzoli;Z.-H. Mao;J.-H. Oh;E. Feron

  • A review of urban computing for mobile phone traces: current methods, challenges and opportunities

    Shan Jiang;Gaston A. Fiore;Yingxiang Yang;Joseph Ferreira

  • Traveling Salesperson Problems for the Dubins Vehicle

    K. Savla;E. Frazzoli;F. Bullo

  • Decentralized Cooperative Policy for Conflict Resolution in Multivehicle Systems

    L. Pallottino;V.G. Scordio;A. Bicchi;E. Frazzoli

  • Robust hybrid control for autonomous vehicle motion planning

    E. Frazzoli;M.A. Dahleh;E. Feron

  • Dynamic Vehicle Routing for Robotic Systems

    F. Bullo;E. Frazzoli;M. Pavone;K. Savla

Frequent Co-Authors

Francesco Bullo
Francesco Bullo University of California, Santa Barbara
Lihua Xie
Lihua Xie Nanyang Technological University
Danwei Wang
Danwei Wang Nanyang Technological University
Ricardo G. Sanfelice
Ricardo G. Sanfelice University of California, Santa Cruz
Panagiotis Tsiotras
Panagiotis Tsiotras Georgia Institute of Technology
Antonio Bicchi
Antonio Bicchi Italian Institute of Technology
Dimos V. Dimarogonas
Dimos V. Dimarogonas Royal Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Mechanical and Aerospace Engineering can open doors to diverse career options. Many students also consider related fields that complement their technical expertise. For instance, pursuing a veteran friendly online speech pathology degree can be a valuable alternative, especially for those interested in healthcare and rehabilitation technologies.

For those looking to accelerate their educational journey, programs like accelerated slp programs provide a quick path to specialization. These options often benefit students aiming to enter the workforce sooner without compromising the quality of education.

Career pathways beyond engineering can also include roles in law enforcement and psychology. For example, understanding how to become a criminal profiler can be intriguing, with insights into criminal profiler salary and job outlook helping students gauge career potential.

Additionally, students with an interest in people-focused professions might explore different counseling degrees. Exploring the different types of counseling degrees can help identify the most suitable path for merging technical knowledge with interpersonal skills.

Best Scientists Citing Emilio Frazzoli

Trending Scientists