Antonio Loquercio

Orcid: 0000-0002-8410-3933

According to our database¹, Antonio Loquercio authored at least 39 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Autonomous Drone Racing: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2024

A Learning-based Quadcopter Controller with Extreme Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Hand-Object Interaction Pretraining from Videos.

[BibT_eX]

[DOI]

Himanshu Gaurav Singh

CoRR, 2024

Conformal Policy Learning for Sensorimotor Control under Distribution Shifts.

[BibT_eX]

[DOI]

Huang Huang

Satvik Sharma

Antonio Loquercio

Anastasios Angelopoulos

Ken Goldberg

Jitendra Malik

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Manipulator as a Tail: Promoting Dynamic Stability for Legged Locomotion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Learning Vision-based Pursuit-Evasion Robot Policies.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

EgoPet: Egomotion and Interaction Data from an Animal's Perspective.

[BibT_eX]

[DOI]

Jathushan Rajasegaran

Yann LeCun

Amir Globerson

Trevor Darrell

Proceedings of the Computer Vision - ECCV 2024, 2024

Tactile-Augmented Radiance Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Agile Autonomy: Learning High-Speed Vision-Based Flight

[BibT_eX]

[DOI]

Antonio Loquercio

Springer Tracts in Advanced Robotics 153, Springer, ISBN: 978-3-031-27287-5, 2023

Champion-level drone racing using deep reinforcement learning.

[BibT_eX]

[DOI]

Nat., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Learning a Single Near-hover Position Controller for Vastly Different Quadcopters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Training Efficient Controllers via Analytic Policy Gradient.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Visual Locomotion with Cross-Modal Supervision.

[BibT_eX]

[DOI]

Antonio Loquercio

Ashish Kumar

Jitendra Malik

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight.

[BibT_eX]

[DOI]

Sci. Robotics, 2022

AutoTune: Controller Tuning for High-Speed Flight.

[BibT_eX]

[DOI]

Antonio Loquercio

Alessandro Saviolo

Davide Scaramuzza

IEEE Robotics Autom. Lett., 2022

A Zero-Shot Adaptive Quadcopter Controller.

[BibT_eX]

[DOI]

CoRR, 2022

Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021).

[BibT_eX]

[DOI]

Dataset, October, 2021

Learning high-speed flight in the wild.

[BibT_eX]

[DOI]

Sci. Robotics, 2021

Deep Drone Acrobatics (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Deep Drone Racing: From Simulation to Reality With Domain Randomization.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2020

A General Framework for Uncertainty Estimation in Deep Learning.

[BibT_eX]

[DOI]

Antonio Loquercio

Mattia Segù

Davide Scaramuzza

IEEE Robotics Autom. Lett., 2020

Learning Depth With Very Sparse Supervision.

[BibT_eX]

[DOI]

Antonio Loquercio

Alexey Dosovitskiy

Davide Scaramuzza

IEEE Robotics Autom. Lett., 2020

Learning Depth via Interaction.

[BibT_eX]

[DOI]

Antonio Loquercio

Alexey Dosovitskiy

Davide Scaramuzza

CoRR, 2020

Deep Drone Acrobatics.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Primal-Dual Mesh Convolutional Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Flightmare: A Flexible Quadrotor Simulator.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

End-to-End Learning of Representations for Asynchronous Event-Based Data.

[BibT_eX]

[DOI]

Daniel Gehrig

Antonio Loquercio

Konstantinos G. Derpanis

Davide Scaramuzza

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised Moving Object Detection via Contextual Information Separation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

DroNet: Learning to Fly by Driving.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Ultra Low Power Deep-Learning-powered Autonomous Nano Drones.

[BibT_eX]

[DOI]

CoRR, 2018

Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Drone Racing: Learning Agile Flight in Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Efficient descriptor learning for large scale localization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Place Recognition in Semi-Dense Maps.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2017, 2017

Antonio Loquercio

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