Elia Kaufmann

Elia Kaufmann

Senior Autonomy Engineer

Skydio

About me

Hi! I am a Senior Autonomy Engineer at Skydio, where we build the best drones in the world for capturing cinematic video, inspecting critical infrastructure, and providing situational awareness. Previously, I was a PhD student at the Robotics and Perception Group directed by Prof. Davide Scaramuzza.

At Skydio, my primary role involves developing our vehicle simulation stack, which is essential for testing and validating autonomy algorithms before deploying them on physical hardware.

My research interests lie in the combination of machine learning methods with traditional planning and control for autonomous systems. During my PhD, I applied my ideas mainly to quadrotors and liked to push these astonishing machines to their physical limits, while only relying on onboard sensing and computation.

I hold a master’s degree in Robotics, Systems and Control from ETH Zurich, where I was fortunate to work under the guidance of Prof. Raffaello D’Andrea.

Education

  • PhD in Robotics, 2022

    Robotics and Perception Group

  • MSc in Robotics, Systems and Control, 2017

    ETH Zurich

  • BSc in Mechanical Engineering, 2014

    ETH Zurich

Awards

I am honored to have received several awards recognizing my contributions to the field of robotics and autonomous systems.

  • 2024: European PhD Award on Embedded Systems and Control
    • European Embedded Control Institute
  • 2024: Jakob Ackeret Award
    • Swiss Association of Aeronautical Sciences
  • 2023: Frontier of Science Award
    • Category: Robotics, Science and Systems
  • 2020: Best Paper Award Honorable Mention
    • IEEE Transactions on Robotics (T-RO)
  • 2020: Best Systems Paper Award
    • Robotics: Science and Systems (RSS)
  • 2020: Best Paper Award Finalist
    • Robotics: Science and Systems (RSS)
  • 2020: Best Systems Paper Award
    • Conference on Robot Learning (CoRL)

Recent Publications

Data-Driven MPC for Quadrotors

IEEE Robotics and Automation Letters, 2021

Flightmare: A Flexible Quadrotor Simulator

Conference on Robot Learning, 2020

Deep Drone Acrobatics

Robotics: Science and Systems, 2020
Best Paper Award Finalist

Deep Drone Racing: Learning Agile Flight in Dynamic Environments

Conference on Robot Learning, 2018
Best Systems Paper Award

Contact

  • ekaufmann (at) ifi (dot) uzh (dot) ch