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ORCIDAntonio Loquercio
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2020 – today
- 2024
[j10]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: 3044-3067 (2024)- [c19]Yiming Dou, Fengyu Yang, Yi Liu, Antonio Loquercio, Andrew Owens:
Tactile-Augmented Radiance Fields. CVPR 2024: 26519-26529 - [c18]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. ECCV (37) 2024: 377-394 - [c17]Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik:
Learning Vision-based Pursuit-Evasion Robot Policies. ICRA 2024: 9197-9204 - [c16]Huang Huang, Antonio Loquercio, Ashish Kumar, Neerja Thakkar, Ken Goldberg, Jitendra Malik:
Manipulator as a Tail: Promoting Dynamic Stability for Legged Locomotion. ICRA 2024: 9712-9719 - [c15]Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik:
Conformal Policy Learning for Sensorimotor Control under Distribution Shifts. ICRA 2024: 16285-16291 - [i28]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 abs/2404.09991 (2024) - [i27]Yiming Dou, Fengyu Yang, Yi Liu, Antonio Loquercio, Andrew Owens:
Tactile-Augmented Radiance Fields. CoRR abs/2405.04534 (2024) - [i26]Himanshu Gaurav Singh, Antonio Loquercio, Carmelo Sferrazza, Jane Wu, Haozhi Qi, Pieter Abbeel, Jitendra Malik:
Hand-Object Interaction Pretraining from Videos. CoRR abs/2409.08273 (2024) - [i25]Dingqi Zhang, Antonio Loquercio, Jerry Tang, Ting-Hao Wang, Jitendra Malik, Mark W. Mueller:
A Learning-based Quadcopter Controller with Extreme Adaptation. CoRR abs/2409.12949 (2024) - 2023
- [b1]Antonio Loquercio:
Agile Autonomy: Learning High-Speed Vision-Based Flight. Springer Tracts in Advanced Robotics 153, Springer 2023, ISBN 978-3-031-27287-5, pp. 1-45 - [j9]Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Champion-level drone racing using deep reinforcement learning. Nat. 620(7976): 982-987 (2023) - [c14]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: 1263-1269 - [c13]Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza:
Training Efficient Controllers via Analytic Policy Gradient. ICRA 2023: 1349-1356 - [c12]Antonio Loquercio, Ashish Kumar, Jitendra Malik:
Learning Visual Locomotion with Cross-Modal Supervision. ICRA 2023: 7295-7302 - [i24]Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza:
Autonomous Drone Racing: A Survey. CoRR abs/2301.01755 (2023) - [i23]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 abs/2305.01648 (2023) - [i22]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 abs/2307.06100 (2023) - [i21]Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik:
Learning Vision-based Pursuit-Evasion Robot Policies. CoRR abs/2308.16185 (2023) - [i20]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 abs/2308.16743 (2023) - [i19]Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik:
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts. CoRR abs/2311.01457 (2023) - 2022
- [j8]Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza:
AutoTune: Controller Tuning for High-Speed Flight. IEEE Robotics Autom. Lett. 7(2): 4432-4439 (2022) - [j7]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) - [i18]Christian Pfeiffer, Simon Wengeler, Antonio Loquercio, Davide Scaramuzza:
Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents. CoRR abs/2201.02569 (2022) - [i17]Dingqi Zhang, Antonio Loquercio, Xiangyu Wu, Ashish Kumar, Jitendra Malik, Mark W. Mueller:
A Zero-Shot Adaptive Quadcopter Controller. CoRR abs/2209.09232 (2022) - [i16]Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza:
Training Efficient Controllers via Analytic Policy Gradient. CoRR abs/2209.13052 (2022) - [i15]Antonio Loquercio, Ashish Kumar, Jitendra Malik:
Learning Visual Locomotion with Cross-Modal Supervision. CoRR abs/2211.03785 (2022) - 2021
- [j6]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Learning high-speed flight in the wild. Sci. Robotics 6(59) (2021) - [c11]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics (Extended Abstract). IJCAI 2021: 4780-4783 - [d1]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza:
Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021). Zenodo, 2021
- [i14]Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza:
AutoTune: Controller Tuning for High-Speed Flight. CoRR abs/2103.10698 (2021) - [i13]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Learning High-Speed Flight in the Wild. CoRR abs/2110.05113 (2021) - 2020
- [j5]Antonio Loquercio, Mattia Segù, Davide Scaramuzza:
A General Framework for Uncertainty Estimation in Deep Learning. IEEE Robotics Autom. Lett. 5(2): 3153-3160 (2020) - [j4]Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza:
Learning Depth With Very Sparse Supervision. IEEE Robotics Autom. Lett. 5(4): 5542-5549 (2020) - [j3]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): 1-14 (2020) - [c10]Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza:
Flightmare: A Flexible Quadrotor Simulator. CoRL 2020: 1147-1157 - [c9]Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza:
Event-Based Asynchronous Sparse Convolutional Networks. ECCV (8) 2020: 415-431 - [c8]Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone:
Primal-Dual Mesh Convolutional Neural Networks. NeurIPS 2020 - [c7]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics. Robotics: Science and Systems 2020 - [i12]Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza:
Learning Depth via Interaction. CoRR abs/2003.00752 (2020) - [i11]Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza:
Event-based Asynchronous Sparse Convolutional Networks. CoRR abs/2003.09148 (2020) - [i10]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics. CoRR abs/2006.05768 (2020) - [i9]Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza:
Flightmare: A Flexible Quadrotor Simulator. CoRR abs/2009.00563 (2020) - [i8]Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone:
Primal-Dual Mesh Convolutional Neural Networks. CoRR abs/2010.12455 (2020)
2010 – 2019
- 2019
- [j2]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): 8357-8371 (2019) - [c6]Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto:
Unsupervised Moving Object Detection via Contextual Information Separation. CVPR 2019: 879-888 - [c5]Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza:
End-to-End Learning of Representations for Asynchronous Event-Based Data. ICCV 2019: 5632-5642 - [i7]Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto:
Unsupervised Moving Object Detection via Contextual Information Separation. CoRR abs/1901.03360 (2019) - [i6]Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza:
End-to-End Learning of Representations for Asynchronous Event-Based Data. CoRR abs/1904.08245 (2019) - [i5]Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR abs/1905.09727 (2019) - [i4]Mattia Segù, Antonio Loquercio, Davide Scaramuzza:
A General Framework for Uncertainty Estimation in Deep Learning. CoRR abs/1907.06890 (2019) - 2018
- [j1]Antonio Loquercio, Ana I. Maqueda, Carlos R. del-Blanco, Davide Scaramuzza:
DroNet: Learning to Fly by Driving. IEEE Robotics Autom. Lett. 3(2): 1088-1095 (2018) - [c4]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL 2018: 133-145 - [c3]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: 5419-5427 - [i3]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 abs/1804.01310 (2018) - [i2]Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini:
Ultra Low Power Deep-Learning-powered Autonomous Nano Drones. CoRR abs/1805.01831 (2018) - [i1]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR abs/1806.08548 (2018) - 2017
- [c2]Yawei Ye, Titus Cieslewski, Antonio Loquercio, Davide Scaramuzza:
Place Recognition in Semi-Dense Maps. BMVC 2017 - [c1]Antonio Loquercio, Marcin Dymczyk, Bernhard Zeisl, Simon Lynen, Igor Gilitschenski, Roland Siegwart:
Efficient descriptor learning for large scale localization. ICRA 2017: 3170-3177
Coauthor Index
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last updated on 2024-12-22 20:01 CET by the dblp team
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