Place Recognition in Semi-Dense Maps. - Yawei Ye; Titus Cieslewski; Antonio Loquercio; Davide Scaramuzza 001 (BMVC, 2017)

Efficient descriptor learning for large scale localization. - Antonio Loquercio; Marcin Dymczyk; Bernhard Zeisl; Simon Lynen; Igor Gilitschenski; Roland Siegwart (ICRA, 2017)

Deep Drone Racing: Learning Agile Flight in Dynamic Environments. - Elia Kaufmann; Antonio Loquercio; René Ranftl; Alexey Dosovitskiy; Vladlen Koltun; Davide Scaramuzza 001 (CoRL, 2018)

Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars. - Ana I. Maqueda; Antonio Loquercio; Guillermo Gallego 002; Narciso García; Davide Scaramuzza 001 (CVPR, 2018)

Ultra Low Power Deep-Learning-powered Autonomous Nano Drones. - Daniele Palossi; Antonio Loquercio; Francesco Conti 001; Eric Flamand; Davide Scaramuzza 001; Luca Benini (CoRR, 2018)

DroNet: Learning to Fly by Driving. - Antonio Loquercio; Ana I. Maqueda; Carlos R. del-Blanco; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2018)

Unsupervised Moving Object Detection via Contextual Information Separation. - Yanchao Yang 001; Antonio Loquercio; Davide Scaramuzza 001; Stefano Soatto (CVPR, 2019)

End-to-End Learning of Representations for Asynchronous Event-Based Data. - Daniel Gehrig; Antonio Loquercio; Konstantinos G. Derpanis; Davide Scaramuzza 001 (ICCV, 2019)

A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones. - Daniele Palossi; Antonio Loquercio; Francesco Conti 001; Eric Flamand; Davide Scaramuzza 001; Luca Benini (IEEE Internet Things J., 2019)

Flightmare: A Flexible Quadrotor Simulator. - Yunlong Song; Selim Naji; Elia Kaufmann; Antonio Loquercio; Davide Scaramuzza 001 (CoRL, 2020)

Event-Based Asynchronous Sparse Convolutional Networks. - Nico Messikommer; Daniel Gehrig; Antonio Loquercio; Davide Scaramuzza 001 (ECCV (8), 2020)

Primal-Dual Mesh Convolutional Neural Networks. - Francesco Milano 001; Antonio Loquercio; Antoni Rosinol; Davide Scaramuzza 001; Luca Carlone (NeurIPS, 2020)

Deep Drone Acrobatics. - Elia Kaufmann; Antonio Loquercio; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Robotics: Science and Systems, 2020)

Learning Depth via Interaction. - Antonio Loquercio; Alexey Dosovitskiy; Davide Scaramuzza 001 (CoRR, 2020)

Learning Depth With Very Sparse Supervision. - Antonio Loquercio; Alexey Dosovitskiy; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2020)

A General Framework for Uncertainty Estimation in Deep Learning. - Antonio Loquercio; Mattia Segù; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2020)

Deep Drone Racing: From Simulation to Reality With Domain Randomization. - Antonio Loquercio; Elia Kaufmann; René Ranftl; Alexey Dosovitskiy; Vladlen Koltun; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2020)

Deep Drone Acrobatics (Extended Abstract). - Elia Kaufmann; Antonio Loquercio; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (IJCAI, 2021)

Learning high-speed flight in the wild. - Antonio Loquercio; Elia Kaufmann; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Sci. Robotics, 2021)

Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021). - Antonio Loquercio; Elia Kaufmann; René Ranftl; Matthias Mueller 001; Vladlen Koltun; Davide Scaramuzza 001 (Zenodo, 2021)

Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents. - Christian Pfeiffer; Simon Wengeler; Antonio Loquercio; Davide Scaramuzza 001 (CoRR, 2022)

A Zero-Shot Adaptive Quadcopter Controller. - Dingqi Zhang; Antonio Loquercio; Xiangyu Wu; Ashish Kumar 007; Jitendra Malik; Mark W. Mueller (CoRR, 2022)

AutoTune: Controller Tuning for High-Speed Flight. - Antonio Loquercio; Alessandro Saviolo; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2022)

Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight. - Philipp Foehn; Elia Kaufmann; Angel Romero; Robert Penicka; Sihao Sun; Leonard Bauersfeld; Thomas Laengle 002; Giovanni Cioffi; Yunlong Song; Antonio Loquercio; Davide Scaramuzza 001 (Sci. Robotics, 2022)

Learning Visual Locomotion with Cross-Modal Supervision. - Antonio Loquercio; Ashish Kumar 007; Jitendra Malik (ICRA, 2023)

Training Efficient Controllers via Analytic Policy Gradient. - Nina Wiedemann; Valentin Wüest; Antonio Loquercio; Matthias Müller 011; Dario Floreano; Davide Scaramuzza 001 (ICRA, 2023)

Learning a Single Near-hover Position Controller for Vastly Different Quadcopters. - Dingqi Zhang; Antonio Loquercio; Xiangyu Wu; Ashish Kumar 007; Jitendra Malik; Mark W. Mueller (ICRA, 2023)

More Than an Arm: Using a Manipulator as a Tail for Enhanced Stability in Legged Locomotion. - Huang Huang; Antonio Loquercio; Ashish Kumar 007; Neerja Thakkar; Ken Goldberg; Jitendra Malik (CoRR, 2023)

A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges. - Spencer Teetaert; Wenda Zhao 005; Xinyuan Niu 001; Hashir Zahir; Huiyu Leong; Michel Hidalgo; Gerardo Puga; Tomas Lorente; Nahuel Espinosa; John Alejandro Duarte Carrasco; Kaizheng Zhang; Jian Di; et al. (CoRR, 2023)

Champion-level drone racing using deep reinforcement learning. - Elia Kaufmann; Leonard Bauersfeld; Antonio Loquercio; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Nat., 2023)

Agile Autonomy: Learning High-Speed Vision-Based Flight - Antonio Loquercio (Springer, 2023)

Tactile-Augmented Radiance Fields. - Yiming Dou; Fengyu Yang; Yi Liu; Antonio Loquercio; Andrew Owens (CVPR, 2024)

EgoPet: Egomotion and Interaction Data from an Animal's Perspective. - Amir Bar; Arya Bakhtiar; Danny Tran; Antonio Loquercio; Jathushan Rajasegaran; Yann LeCun; Amir Globerson; Trevor Darrell (ECCV (37), 2024)

Learning Vision-based Pursuit-Evasion Robot Policies. - Andrea Bajcsy; Antonio Loquercio; Ashish Kumar 007; Jitendra Malik (ICRA, 2024)

Manipulator as a Tail: Promoting Dynamic Stability for Legged Locomotion. - Huang Huang; Antonio Loquercio; Ashish Kumar 007; Neerja Thakkar; Ken Goldberg; Jitendra Malik (ICRA, 2024)

Conformal Policy Learning for Sensorimotor Control under Distribution Shifts. - Huang Huang; Satvik Sharma; Antonio Loquercio; Anastasios Angelopoulos; Ken Goldberg; Jitendra Malik (ICRA, 2024)

Autonomous Drone Racing: A Survey. - Drew Hanover; Antonio Loquercio; Leonard Bauersfeld; Angel Romero; Robert Penicka; Yunlong Song; Giovanni Cioffi; Elia Kaufmann; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2024)

Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes. - Yiming Dou; Wonseok Oh; Yuqing Luo; Antonio Loquercio; Andrew Owens (CVPR, 2025)

Hand-Object Interaction Pretraining from Videos. - Himanshu Gaurav Singh; Antonio Loquercio; Carmelo Sferrazza; Jane Wu; Haozhi Qi; Pieter Abbeel; Jitendra Malik (ICRA, 2025)

End-to-End Navigation with Vision-Language Models: Transforming Spatial Reasoning into Question-Answering. - Dylan Goetting; Himanshu Gaurav Singh; Antonio Loquercio (NeuS, 2025)

A Learning-Based Quadcopter Controller With Extreme Adaptation. - Dingqi Zhang; Antonio Loquercio; Jerry Tang; Ting-Hao Wang; Jitendra Malik; Mark W. Mueller (IEEE Trans. Robotics, 2025)

Advancing Reproducibility, Benchmarks, and Education With Remote Sim2real: Remote Simulation to Real Robot Hardware. - Spencer Teetaert; Wenda Zhao 005; Antonio Loquercio; Siqi Zhou; Lukas Brunke; Martin Schuck; Wolfgang Hönig; Jacopo Panerati; Angela P. Schoellig (IEEE Robotics Autom. Mag., 2025)

Deep Sensorimotor Control by Imitating Predictive Models of Human Motion. - Himanshu Gaurav Singh; Pieter Abbeel; Jitendra Malik; Antonio Loquercio (CoRR, 2025)