Media Summary: Speaker: Dr. Davide Scaramuzza Affiliation: University of Zurich This talk was presented at the 8th IFAC Conference on Nonlinear ... ICRA 2020 workshop on "Perception, Action, On November 2, 2023, at an event hosted by the Swiss Association of Aeronautical Sciences at ETH, Prof. Davide Scaramuzza ...

Learning Vision Based Agile Drone - Detailed Analysis & Overview

Speaker: Dr. Davide Scaramuzza Affiliation: University of Zurich This talk was presented at the 8th IFAC Conference on Nonlinear ... ICRA 2020 workshop on "Perception, Action, On November 2, 2023, at an event hosted by the Swiss Association of Aeronautical Sciences at ETH, Prof. Davide Scaramuzza ... This video summarizes the results and methodology of the paper "Back to Newton's Laws:

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Learning Vision-based Agile Drone Flight: from Simulation to Reality
Learning Vision-based Agile Drone Flight
Learning High-Speed Flight in the Wild (Science Robotics, 2021)
ICRA 2026 Keynote Tutorial - Learning Agile Vision-based Quadrotor Flight
NMPC 2024 - Learning agile, vision-based drone flight: from simulation to reality
PAL 2020 Invited Talk: Learning vision-based, agile drone flight: from perception to action
Champion-level Drone Racing using Deep Reinforcement Learning (Nature, 2023)
Human-Level Performance with Autonomous Vision-based Drones - Davide Scaramuzza
Learning from the best: Inverse reinforcement learning for agile drone flight.
Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Learning Vision based Agile Drone Flight   from Simulation to Reality
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Learning Vision-based Agile Drone Flight: from Simulation to Reality

Learning Vision-based Agile Drone Flight: from Simulation to Reality

In this talk, we present our work on

Learning Vision-based Agile Drone Flight

Learning Vision-based Agile Drone Flight

Antonio Loquercio.

Learning High-Speed Flight in the Wild (Science Robotics, 2021)

Learning High-Speed Flight in the Wild (Science Robotics, 2021)

Quadrotors are

ICRA 2026 Keynote Tutorial - Learning Agile Vision-based Quadrotor Flight

ICRA 2026 Keynote Tutorial - Learning Agile Vision-based Quadrotor Flight

Recent advances in

NMPC 2024 - Learning agile, vision-based drone flight: from simulation to reality

NMPC 2024 - Learning agile, vision-based drone flight: from simulation to reality

Speaker: Dr. Davide Scaramuzza Affiliation: University of Zurich This talk was presented at the 8th IFAC Conference on Nonlinear ...

PAL 2020 Invited Talk: Learning vision-based, agile drone flight: from perception to action

PAL 2020 Invited Talk: Learning vision-based, agile drone flight: from perception to action

ICRA 2020 workshop on "Perception, Action,

Champion-level Drone Racing using Deep Reinforcement Learning (Nature, 2023)

Champion-level Drone Racing using Deep Reinforcement Learning (Nature, 2023)

First-person

Human-Level Performance with Autonomous Vision-based Drones - Davide Scaramuzza

Human-Level Performance with Autonomous Vision-based Drones - Davide Scaramuzza

On November 2, 2023, at an event hosted by the Swiss Association of Aeronautical Sciences at ETH, Prof. Davide Scaramuzza ...

Learning from the best: Inverse reinforcement learning for agile drone flight.

Learning from the best: Inverse reinforcement learning for agile drone flight.

This research introduces a

Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics

This video summarizes the results and methodology of the paper "Back to Newton's Laws:

Deep Drone Racing: Learning Agile Flight in Dynamic Environments

Deep Drone Racing: Learning Agile Flight in Dynamic Environments

Autonomous

Learning Vision based Agile Drone Flight   from Simulation to Reality

Learning Vision based Agile Drone Flight from Simulation to Reality

Test for Tensorflow.

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight (ICRA 2026)

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight (ICRA 2026)

Autonomous