Deep Drone Racing Learning Agile Flight In Dynamic Environments

Media Summary: Recently, neural control policies have outperformed existing model-based planning-and-control methods for autonomously ... We present a method to let a quadrotor autonomously pass through narrow gaps using only onboard sensing and computing. Planning minimum-time trajectories in cluttered

Deep Drone Racing Learning Agile Flight In Dynamic Environments - Detailed Analysis & Overview

Recently, neural control policies have outperformed existing model-based planning-and-control methods for autonomously ... We present a method to let a quadrotor autonomously pass through narrow gaps using only onboard sensing and computing. Planning minimum-time trajectories in cluttered In many robotic tasks, such as autonomous Speaker: Dr. Davide Scaramuzza Affiliation: University of Zurich This talk was presented at the 8th IFAC Conference on Nonlinear ... In this paper, we tackle the problem of flying a quadrotor using time-optimal control policies that can be replanned online when the ...

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Deep Drone Racing: Learning Agile Flight in Dynamic Environments

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

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

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

Learning Perception-Aware Agile Flight in Cluttered Environment (ICRA 2023)

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

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

Agile Drone Flight through Narrow Gaps with Onboard Sensing and Computing

Learning Vision-based Agile Drone Flight

Learning Minimum-Time Flight in Cluttered Environments (RAL 2022)

Autonomous Drone Racing with Deep Reinforcement Learning (IROS 2021)

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

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Deep Drone Racing: Learning Agile Flight in Dynamic Environments

Deep Drone Racing: Learning Agile Flight in Dynamic Environments

Autonomous

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

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

First-person view (FPV)

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

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

Quadrotors are

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 Perception-Aware Agile Flight in Cluttered Environment (ICRA 2023)

Learning Perception-Aware Agile Flight in Cluttered Environment (ICRA 2023)

Recently, neural control policies have outperformed existing model-based planning-and-control methods for autonomously ...

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

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

Quadrotors are highly nonlinear

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

Agile Drone Flight through Narrow Gaps with Onboard Sensing and Computing

Agile Drone Flight through Narrow Gaps with Onboard Sensing and Computing

We present a method to let a quadrotor autonomously pass through narrow gaps using only onboard sensing and computing.

Learning Vision-based Agile Drone Flight

Learning Vision-based Agile Drone Flight

Antonio Loquercio.

Learning Minimum-Time Flight in Cluttered Environments (RAL 2022)

Learning Minimum-Time Flight in Cluttered Environments (RAL 2022)

Planning minimum-time trajectories in cluttered

Autonomous Drone Racing with Deep Reinforcement Learning (IROS 2021)

Autonomous Drone Racing with Deep Reinforcement Learning (IROS 2021)

In many robotic tasks, such as autonomous

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 ...

Time-Optimal Online Replanning for Agile Quadrotor Flight (RAL 2022)

Time-Optimal Online Replanning for Agile Quadrotor Flight (RAL 2022)

In this paper, we tackle the problem of flying a quadrotor using time-optimal control policies that can be replanned online when the ...