Publications

A complete list of publications can also be found on Google Scholar..

Books

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Agile Autonomy: Learning High-Speed Vision-Based Flight

A. Loquercio
Springer Tracts in Advanced Robotics, 2022

Publications

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

A. Bar, A. Bakhtiar, D. Tran, A. Loquercio, J. Rajasegaran, Y. LeCun, A. Globerson, T. Darrell
European Conference on Computer Vision (ECCV), 2024
★ New
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Autonomous Drone Racing: A Survey

D. Hanover, A. Loquercio, L. Bauersfeld, A. Romero, R. Penicka, Y. Song, G. Cioffi, E. Kaufmann, D. Scaramuzza
IEEE Transactions of Robotics (T-RO), 2024
★ New
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Tactile-Augmented Radiance Fields

Y. Dou, F. Yang, Y. Liu, A. Loquercio, A. Owens
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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Manipulator as a Tail: Promoting Dynamic Stability for Legged Locomotion

H. Huang, A. Loquercio, A. Kumar, N. Thakkar, K. Goldberg, J. Malik
International Conference on Robotics and Automation (ICRA), 2024
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Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts

H. Huang, S. Sharma, A. Loquercio, A. Angelopoulos, K. Goldberg, J. Malik
International Conference on Robotics and Automation (ICRA), 2024
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Learning Vision-Based Pursuit-Evasion Robot Policies

A. Bajcsy*, A. Loquercio*, A. Kumar, J. Malik
International Conference on Robotics and Automation (ICRA), 2024
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Champion-Level Drone Racing Using Deep Reinforcement Learning

E. Kaufmann, L. Bauersfeld, A. Loquercio, M. Mueller, V. Koltun, D. Scaramuzza
Nature, 2023
Featured on the cover of Nature!
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Learning Visual Locomotion with Cross-Modal Supervision

A. Loquercio, A. Kumar, J. Malik
International Conference on Robotics and Automation (ICRA), 2023
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Training Efficient Controllers via Analytic Policy Gradient

N. Wiedemann, V. Wüest, A. Loquercio, M. Müller, D. Floreano, D. Scaramuzza
International Conference on Robotics and Automation (ICRA), 2023
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A Zero-Shot Adaptive Quadcopter Controller

D. Zhang, A. Loquercio, X. Wu, A. Kumar, J. Malik, M. W. Mueller
International Conference on Robotics and Automation (ICRA), 2023
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Agilicious: Open-source and Open-hardware Agile Quadrotor for Vision-Based Flight

P. Foehn, E. Kaufmann, A. Romero, R. Penicka, S. Sun, L. Bauersfeld, T. Laengle, G. Cioffi, Y. Song, A. Loquercio, D. Scaramuzza
Science Robotics, 2022
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Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents

C. Pfeiffer, S. Wengler, A. Loquercio, D. Scaramuzza
PLOS ONE Vol. 17, Issue 3, 2022
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AutoTune: Controller Tuning for High-Speed Flight

A. Loquercio*, A. Saviolo*, D. Scaramuzza
IEEE Robotics and Automation Letters (RA-L) and ICRA, 2022
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Learning High-Speed Flight in the Wild

A. Loquercio, E. Kaufmann, R. Ranftl, M. Mueller, V. Koltun, D. Scaramuzza
Science Robotics, 2021
Fontier of Science Award, 2023
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Agile Autonomy: High-Speed Flight with On-Board Sensing and Computing

A. Loquercio, D. Scaramuzza
Conference on Robotics and Intelligent Machines (I-RIM3D), 2020
Best Paper Award Finalist!
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Primal-Dual Mesh Convolutional Neural Networks

F. Milano, A. Loquercio, A. Rosinol, D. Scaramuzza, L. Carlone
Conference on Neural Information Processing Systems (NeurIPS), 2020
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Flightmare: A Flexible Quadrotor Simulator

Y. Song, S. Naji, E. Kaufmann, A. Loquercio, D. Scaramuzza
Conference on Robotic Learning (CoRL), 2020
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Event-based Asynchronous Sparse Convolutional Networks

N. Messikommer, D. Gehrig, A. Loquercio, D. Scaramuzza
European Conference on Computer Vision (ECCV), 2020
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Deep Drone Acrobatics

E. Kaufmann*, A. Loquercio*, R. Ranftl, M. Mueller, V. Koltun, D. Scaramuzza
Robotics, Science, and Systems (RSS), 2020
Best Paper Award Finalist!
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End-to-End Learning of Representations for Asynchronous Event-Based Data

D. Gehrig, A. Loquercio, K.G. Derpanis, D. Scaramuzza
IEEE International Conference on Computer Vision (ICCV), 2019
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Learning Depth with Very Sparse Supervision

A. Loquercio, A. Dosovitskiy, D. Scaramuzza
IEEE Robotics and Automation Letters (RA-L) and IROS, 2020
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Deep Drone Racing: From Simulation to Reality with Domain Randomization

A. Loquercio*, E. Kaufmann*, R. Ranftl, A. Dosovitskiy, V. Koltun, D. Scaramuzza
IEEE Transactions on Robotics (T-RO), 2020
T-RO Best Paper Award Honorable Mention!
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A General Framework for Uncertainty Estimation in Deep Learning

A. Loquercio*, M. Segu*, D. Scaramuzza
IEEE Robotics and Automation Letters (RA-L) and ICRA, 2020
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Unsupervised Moving Object Detection via Contextual Information Separation

Y. Yang*, A. Loquercio*, D. Scaramuzza, S. Soatto
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
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Deep Drone Racing: Learning Agile Flight in Dynamic Environments

E. Kaufmann*, A. Loquercio*, R. Ranftl, A. Dosovitskiy, V. Koltun, D. Scaramuzza
Conference on Robotic Learning (CoRL), 2018
Best Systems Paper Award!
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A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones

D. Palossi, A. Loquercio, F. Conti, E. Flamand, D. Scaramuzza, L. Benini
IEEE Internet of Things (IoT), 2019
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Event-based Vision Meets Deep Learning on Steering Prediction for Self-driving Cars

A. Maqueda, A. Loquercio, G. Gallego, N. Garcia, D. Scaramuzza
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
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DroNet: Learning to Fly by Driving

A. Loquercio, A. Maqueda, C. del-Blanco, D. Scaramuzza
IEEE Robotics and Automation Letters (RA-L) and ICRA, 2018
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Place Recognition in Semi-Dense Maps: Geometric and Learning-Based Approaches

Y. Ye, T. Cieslewski, A. Loquercio, D. Scaramuzza
British Machine Vision Conference (BMVC), 2017
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Efficient Descriptor Learning for Large Scale Localization

A. Loquercio, M. Dymczyk, B. Zeisl, S. Lynen, I. Gilitschenski, R. Siegwart
IEEE International Conference on Robotics and Automation (ICRA), 2017

PhD Thesis

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Agile Autonomy: Learning High-Speed Vision-Based Flight

A. Loquercio
PhD Thesis, University of Zurich, 2021
Georges Giralt PhD Award, 2022