Antonio Loquercio

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 53

Top Topics

Convolutional Network

Legged Locomotion

Ultra Low Power

Top Venues

IEEE Robotics Autom. Lett.

IEEE Trans. Robotics

Publications

Huang Huang, Antonio Loquercio, Ashish Kumar, Neerja Thakkar, Ken Goldberg, Jitendra Malik
Manipulator as a Tail: Promoting Dynamic Stability for Legged Locomotion. ICRA (2024)
Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
EgoPet: Egomotion and Interaction Data from an Animal's Perspective. CoRR (2024)
Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik
Learning Vision-based Pursuit-Evasion Robot Policies. ICRA (2024)
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza
Autonomous Drone Racing: A Survey. IEEE Trans. Robotics 40 (2024)
Yiming Dou, Fengyu Yang, Yi Liu, Antonio Loquercio, Andrew Owens
Tactile-Augmented Radiance Fields. CoRR (2024)
Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik
Conformal Policy Learning for Sensorimotor Control under Distribution Shifts. ICRA (2024)
Antonio Loquercio, Ashish Kumar, Jitendra Malik
Learning Visual Locomotion with Cross-Modal Supervision. ICRA (2023)
Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts. CoRR (2023)
Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Champion-level drone racing using deep reinforcement learning. Nat. 620 (7976) (2023)
Dingqi Zhang, Antonio Loquercio, Xiangyu Wu, Ashish Kumar, Jitendra Malik, Mark W. Mueller
Learning a Single Near-hover Position Controller for Vastly Different Quadcopters. ICRA (2023)
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
Training Efficient Controllers via Analytic Policy Gradient. ICRA (2023)
Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight. CoRR (2023)
Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik
Learning Vision-based Pursuit-Evasion Robot Policies. CoRR (2023)
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza
Autonomous Drone Racing: A Survey. CoRR (2023)
Huang Huang, Antonio Loquercio, Ashish Kumar, Neerja Thakkar, Ken Goldberg, Jitendra Malik
More Than an Arm: Using a Manipulator as a Tail for Enhanced Stability in Legged Locomotion. CoRR (2023)
Spencer Teetaert, Wenda Zhao, Xinyuan Niu, Hashir Zahir, Huiyu Leong, Michel Hidalgo, Gerardo Puga, Tomas Lorente, Nahuel Espinosa, John Alejandro Duarte Carrasco, Kaizheng Zhang, Jian Di, Tao Jin, Xiaohan Li, Yijia Zhou, Xiuhua Liang, Chenxu Zhang, Antonio Loquercio, Siqi Zhou, Lukas Brunke, Melissa Greeff, Wolfgang Hönig, Jacopo Panerati, Angela P. Schoellig
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges. CoRR (2023)
Christian Pfeiffer, Simon Wengeler, Antonio Loquercio, Davide Scaramuzza
Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents. CoRR (2022)
Dingqi Zhang, Antonio Loquercio, Xiangyu Wu, Ashish Kumar, Jitendra Malik, Mark W. Mueller
A Zero-Shot Adaptive Quadcopter Controller. CoRR (2022)
Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza
Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight. Sci. Robotics 7 (67) (2022)
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
Training Efficient Controllers via Analytic Policy Gradient. CoRR (2022)
Antonio Loquercio, Ashish Kumar, Jitendra Malik
Learning Visual Locomotion with Cross-Modal Supervision. CoRR (2022)
Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza
AutoTune: Controller Tuning for High-Speed Flight. IEEE Robotics Autom. Lett. 7 (2) (2022)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Learning High-Speed Flight in the Wild. CoRR (2021)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Deep Drone Acrobatics (Extended Abstract). IJCAI (2021)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Learning high-speed flight in the wild. Sci. Robotics 6 (59) (2021)
Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza
AutoTune: Controller Tuning for High-Speed Flight. CoRR (2021)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: From Simulation to Reality With Domain Randomization. IEEE Trans. Robotics 36 (1) (2020)
Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza
Flightmare: A Flexible Quadrotor Simulator. CoRR (2020)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Deep Drone Acrobatics. Robotics: Science and Systems (2020)
Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza
Learning Depth via Interaction. CoRR (2020)
Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza
Flightmare: A Flexible Quadrotor Simulator. CoRL (2020)
Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza
Learning Depth With Very Sparse Supervision. IEEE Robotics Autom. Lett. 5 (4) (2020)
Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
Event-Based Asynchronous Sparse Convolutional Networks. ECCV (8) (2020)
Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
Event-based Asynchronous Sparse Convolutional Networks. CoRR (2020)
Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone
Primal-Dual Mesh Convolutional Neural Networks. NeurIPS (2020)
Antonio Loquercio, Mattia Segù, Davide Scaramuzza
A General Framework for Uncertainty Estimation in Deep Learning. IEEE Robotics Autom. Lett. 5 (2) (2020)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Deep Drone Acrobatics. CoRR (2020)
Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone
Primal-Dual Mesh Convolutional Neural Networks. CoRR (2020)
Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto
Unsupervised Moving Object Detection via Contextual Information Separation. CoRR (2019)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR (2019)
Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini
A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones. IEEE Internet Things J. 6 (5) (2019)
Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto
Unsupervised Moving Object Detection via Contextual Information Separation. CVPR (2019)
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza
End-to-End Learning of Representations for Asynchronous Event-Based Data. ICCV (2019)
Mattia Segù, Antonio Loquercio, Davide Scaramuzza
A General Framework for Uncertainty Estimation in Deep Learning. CoRR (2019)
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza
End-to-End Learning of Representations for Asynchronous Event-Based Data. CoRR (2019)
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso García, Davide Scaramuzza
Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars. CVPR (2018)
Antonio Loquercio, Ana I. Maqueda, Carlos R. del-Blanco, Davide Scaramuzza
DroNet: Learning to Fly by Driving. IEEE Robotics Autom. Lett. 3 (2) (2018)
Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini
Ultra Low Power Deep-Learning-powered Autonomous Nano Drones. CoRR (2018)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL (2018)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR (2018)
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso García, Davide Scaramuzza
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars. CoRR (2018)
Antonio Loquercio, Marcin Dymczyk, Bernhard Zeisl, Simon Lynen, Igor Gilitschenski, Roland Siegwart
Efficient descriptor learning for large scale localization. ICRA (2017)
Yawei Ye, Titus Cieslewski, Antonio Loquercio, Davide Scaramuzza
Place Recognition in Semi-Dense Maps. BMVC (2017)