Leonard Bauersfeld

Leonard Bauersfeld

PhD Student

Robotics and Perception Group

Biography

I am a PhD student at the Robotics and Perception Group, led by Prof. Davide Scaramuzza. My research interests lie in the combination of classical methods and machine learning methods for modeling, perception-aware control, and vision-based state estimation for autonomous aerial vehicles.

In my free time, I enjoy taking photos of landscapes and astronomical objects to show how beatiful nature can be and that it’s worth protecting. I also teach photography courses at ETH Zurich.

Download my resumé.

Interests
  • Perception for Robotics
  • Autonomous Aerial Vehicles
  • (Astro)photography
Education
  • PhD in Robotics, 2021 ‒ now

    Robotics and Perception Group

  • Master in Robotics, Systems and Control, 2021

    ETH Zürich

  • BSc in Mechanical Engineering, 2018

    ETH Zürich

List of Publications

(2025). HDVIO2.0: Wind and Disturbance Estimation with Hybrid Dynamics VIO. IEEE T-RO.

PDF Cite Code Video DOI

(2025). A Monocular Event-Camera Motion Capture System. arXiv.

PDF Cite DOI

(2024). Robotics meets Fluid Dynamics: A Characterization of the Induced Airflow around a Quadrotor. IEEE RA-L.

PDF Cite Video

(2024). Drift-Free Visual SLAM Using Digital Twins. IEEE RA-L.

PDF Cite Code Video

(2024). Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight. CoRL 2024.

PDF Cite Project Video

(2024). Demonstrating Agile Flight from Pixels without State Estimation. RSS 2024.

PDF Cite Video

(2024). MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints. RSS 2024.

PDF Cite Video

(2024). Autonomous Drone Racing: A Survey. IEEE T-RO.

PDF Cite DOI

(2024). Contrastive Learning for Enhancing Robust Scene Transfer in Vision-Based Agile Flight. ICRA 2024.

PDF Cite Video DOI

(2023). Champion-Level Drone-Racing using Deep Reinforcement Learning. Nature.

PDF Cite Dataset Video DOI

(2023). HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO. RSS 2023.

PDF Cite Video

(2023). Cracking Double-Blind Review: Authorship attribution with deep learning. PLOS ONE.

PDF Cite Code DOI

(2023). Event-Based Shape from Polarization. CVPR 2023.

PDF Cite Code Project Video

(2023). User-Conditioned Neural Control Policies for Mobile Robotics. ICRA 2023.

PDF Cite Video DOI

(2023). Learned Inertial Odometry for Autonomous Drone Racing. IEEE RA-L.

PDF Cite Code Video DOI

(2022). Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight. Science Robotics.

PDF Cite Project Video DOI

(2022). A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight. IEEE ICRA 2022.

PDF Cite Video DOI

(2022). Range, Endurance, and Optimal Speed Estimates for Multicopters. IEEE RA-L.

PDF Cite DOI

(2021). NeuroBEM: Hybrid Aerodynamic Quadrotor Model. RSS 2021.

PDF Cite Dataset Project Video DOI

(2021). MPC Flight Control for Tilt-Rotor VTOL Aircraft. IEEE T-AES.

PDF Cite DOI

(2020). Fused-PID Control for Tilt-Rotor VTOL Aircraft. MED 2020.

PDF Cite DOI

(2019). RTOB SLAM: Real-Time Onboard Laser-Based Localization and Mapping. MDPI Vehicles.

PDF Cite DOI

(2019). Low-Cost 3D Laser Scanner Design. IEEE SAS 2019.

PDF Cite DOI

Contact

  • bauersfeld (at) ifi (dot) uzh (dot) ch
  • +49 (one) (five) (one) 7500 7478
  • Andreasstrasse 15, Zurich, 8050
  • Take the stairs to the office 2.08 on the 2nd floor