Antonio Loquercio

Orcid: 0000-0002-8410-3933

According to our database1, Antonio Loquercio authored at least 33 papers between 2017 and 2023.

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Bibliography

2023
Agile Autonomy: Learning High-Speed Vision-Based Flight
Springer Tracts in Advanced Robotics 153, Springer, ISBN: 978-3-031-27287-5, 2023

Champion-level drone racing using deep reinforcement learning.
Nat., 2023

Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts.
CoRR, 2023

A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges.
CoRR, 2023

Learning Vision-based Pursuit-Evasion Robot Policies.
CoRR, 2023

More Than an Arm: Using a Manipulator as a Tail for Enhanced Stability in Legged Locomotion.
CoRR, 2023

Autonomous Drone Racing: A Survey.
CoRR, 2023

Learning a Single Near-hover Position Controller for Vastly Different Quadcopters.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Training Efficient Controllers via Analytic Policy Gradient.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Visual Locomotion with Cross-Modal Supervision.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight.
Sci. Robotics, 2022

AutoTune: Controller Tuning for High-Speed Flight.
IEEE Robotics Autom. Lett., 2022

A Zero-Shot Adaptive Quadcopter Controller.
CoRR, 2022

Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents.
CoRR, 2022

2021
Learning high-speed flight in the wild.
Sci. Robotics, 2021

Deep Drone Acrobatics (Extended Abstract).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Deep Drone Racing: From Simulation to Reality With Domain Randomization.
IEEE Trans. Robotics, 2020

A General Framework for Uncertainty Estimation in Deep Learning.
IEEE Robotics Autom. Lett., 2020

Learning Depth With Very Sparse Supervision.
IEEE Robotics Autom. Lett., 2020

Learning Depth via Interaction.
CoRR, 2020

Deep Drone Acrobatics.
Proceedings of the Robotics: Science and Systems XVI, 2020

Primal-Dual Mesh Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Event-Based Asynchronous Sparse Convolutional Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Flightmare: A Flexible Quadrotor Simulator.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones.
IEEE Internet Things J., 2019

End-to-End Learning of Representations for Asynchronous Event-Based Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Moving Object Detection via Contextual Information Separation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
DroNet: Learning to Fly by Driving.
IEEE Robotics Autom. Lett., 2018

Ultra Low Power Deep-Learning-powered Autonomous Nano Drones.
CoRR, 2018

Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Drone Racing: Learning Agile Flight in Dynamic Environments.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Efficient descriptor learning for large scale localization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Place Recognition in Semi-Dense Maps.
Proceedings of the British Machine Vision Conference 2017, 2017


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