Antonio Loquercio

69 papers A* 15A 1C 1Misc 2Journal 45Unranked 4
YearRankTypeTitle / Venue / Authors
2026 C conf
Deep Sensorimotor Control by Imitating Predictive Models of Human Motion: Leveraging Visual Understanding of Motion for Policy Learning.
ICPRAM
Himanshu Gaurav Singh, Pieter Abbeel, Jitendra Malik, Antonio Loquercio
2026 J jnl
Efficient and Reliable Teleoperation through Real-to-Sim-to-Real Shared Autonomy.
CoRR
Shuo Sha, Yixuan Wang, Binghao Huang, Antonio Loquercio, Yunzhu Li
2025 J jnl
A Learning-Based Quadcopter Controller With Extreme Adaptation.
IEEE Trans. Robotics
Dingqi Zhang, Antonio Loquercio, Jerry Tang, Ting-Hao Wang, Jitendra Malik, Mark W. Mueller
2025 J jnl
Advancing Reproducibility, Benchmarks, and Education With Remote Sim2real: Remote Simulation to Real Robot Hardware.
IEEE Robotics Autom. Mag.
Spencer Teetaert, Wenda Zhao, Antonio Loquercio, Siqi Zhou, Lukas Brunke, Martin Schuck, Wolfgang Hönig, Jacopo Panerati, Angela P. Schoellig
2025 J jnl
Agile Flight Emerges from Multi-Agent Competitive Racing.
CoRR
Vineet Pasumarti, Lorenzo Bianchi, Antonio Loquercio
2025 J jnl
Deep Sensorimotor Control by Imitating Predictive Models of Human Motion.
CoRR
Himanshu Gaurav Singh, Pieter Abbeel, Jitendra Malik, Antonio Loquercio
2025 — conf
End-to-End Navigation with Vision-Language Models: Transforming Spatial Reasoning into Question-Answering.
NeuS
Dylan Goetting, Himanshu Gaurav Singh, Antonio Loquercio
2025 A* conf
Hand-Object Interaction Pretraining from Videos.
ICRA
Himanshu Gaurav Singh, Antonio Loquercio, Carmelo Sferrazza, Jane Wu, Haozhi Qi, Pieter Abbeel, Jitendra Malik
2025 A* conf
Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes.
CVPR
Yiming Dou, Wonseok Oh, Yuqing Luo, Antonio Loquercio, Andrew Owens
2025 J jnl
Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes.
CoRR
Yiming Dou, Wonseok Oh, Yuqing Luo, Antonio Loquercio, Andrew Owens
2024 J jnl
A Learning-based Quadcopter Controller with Extreme Adaptation.
CoRR
Dingqi Zhang, Antonio Loquercio, Jerry Tang, Ting-Hao Wang, Jitendra Malik, Mark W. Mueller
2024 J jnl
Autonomous Drone Racing: A Survey.
IEEE Trans. Robotics
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza
2024 A* conf
Conformal Policy Learning for Sensorimotor Control under Distribution Shifts.
ICRA
Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik
2024 — conf
EgoPet: Egomotion and Interaction Data from an Animal's Perspective.
ECCV (37)
Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
2024 J jnl
EgoPet: Egomotion and Interaction Data from an Animal's Perspective.
CoRR
Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
2024 J jnl
End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-Answering.
CoRR
Dylan Goetting, Himanshu Gaurav Singh, Antonio Loquercio
2024 J jnl
Hand-Object Interaction Pretraining from Videos.
CoRR
Himanshu Gaurav Singh, Antonio Loquercio, Carmelo Sferrazza, Jane Wu, Haozhi Qi, Pieter Abbeel, Jitendra Malik
2024 A* conf
Learning Vision-based Pursuit-Evasion Robot Policies.
ICRA
Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik
2024 A* conf
Manipulator as a Tail: Promoting Dynamic Stability for Legged Locomotion.
ICRA
Huang Huang, Antonio Loquercio, Ashish Kumar, Neerja Thakkar, Ken Goldberg, Jitendra Malik
2024 A* conf
Tactile-Augmented Radiance Fields.
CVPR
Yiming Dou, Fengyu Yang, Yi Liu, Antonio Loquercio, Andrew Owens
2024 J jnl
Tactile-Augmented Radiance Fields.
CoRR
Yiming Dou, Fengyu Yang, Yi Liu, Antonio Loquercio, Andrew Owens
2023 J jnl
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges.
CoRR
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
2023 — book
Agile Autonomy: Learning High-Speed Vision-Based Flight
Antonio Loquercio
2023 J jnl
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight.
CoRR
Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza
2023 J jnl
Autonomous Drone Racing: A Survey.
CoRR
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza
2023 J jnl
Champion-level drone racing using deep reinforcement learning.
Nat.
Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2023 J jnl
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts.
CoRR
Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik
2023 J jnl
Learning Vision-based Pursuit-Evasion Robot Policies.
CoRR
Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik
2023 A* conf
Learning Visual Locomotion with Cross-Modal Supervision.
ICRA
Antonio Loquercio, Ashish Kumar, Jitendra Malik
2023 A* conf
Learning a Single Near-hover Position Controller for Vastly Different Quadcopters.
ICRA
Dingqi Zhang, Antonio Loquercio, Xiangyu Wu, Ashish Kumar, Jitendra Malik, Mark W. Mueller
2023 J jnl
More Than an Arm: Using a Manipulator as a Tail for Enhanced Stability in Legged Locomotion.
CoRR
Huang Huang, Antonio Loquercio, Ashish Kumar, Neerja Thakkar, Ken Goldberg, Jitendra Malik
2023 A* conf
Training Efficient Controllers via Analytic Policy Gradient.
ICRA
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
2022 J jnl
A Zero-Shot Adaptive Quadcopter Controller.
CoRR
Dingqi Zhang, Antonio Loquercio, Xiangyu Wu, Ashish Kumar, Jitendra Malik, Mark W. Mueller
2022 J jnl
Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight.
Sci. Robotics
Philipp Foehn, Elia Kaufmann, Angel Romero, Robert Penicka, Sihao Sun, Leonard Bauersfeld, Thomas Laengle, Giovanni Cioffi, Yunlong Song, Antonio Loquercio, Davide Scaramuzza
2022 J jnl
AutoTune: Controller Tuning for High-Speed Flight.
IEEE Robotics Autom. Lett.
Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza
2022 J jnl
Learning Visual Locomotion with Cross-Modal Supervision.
CoRR
Antonio Loquercio, Ashish Kumar, Jitendra Malik
2022 J jnl
Training Efficient Controllers via Analytic Policy Gradient.
CoRR
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
2022 J jnl
Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents.
CoRR
Christian Pfeiffer, Simon Wengeler, Antonio Loquercio, Davide Scaramuzza
2021 J jnl
AutoTune: Controller Tuning for High-Speed Flight.
CoRR
Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza
2021 A* conf
Deep Drone Acrobatics (Extended Abstract).
IJCAI
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2021 J jnl
Learning High-Speed Flight in the Wild.
CoRR
Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2021 J jnl
Learning high-speed flight in the wild.
Sci. Robotics
Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2020 J jnl
A General Framework for Uncertainty Estimation in Deep Learning.
IEEE Robotics Autom. Lett.
Antonio Loquercio, Mattia Segù, Davide Scaramuzza
2020 — conf
Deep Drone Acrobatics.
Robotics: Science and Systems
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2020 J jnl
Deep Drone Acrobatics.
CoRR
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2020 J jnl
Deep Drone Racing: From Simulation to Reality With Domain Randomization.
IEEE Trans. Robotics
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2020 — conf
Event-Based Asynchronous Sparse Convolutional Networks.
ECCV (8)
Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
2020 J jnl
Event-based Asynchronous Sparse Convolutional Networks.
CoRR
Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
2020 Misc conf
Flightmare: A Flexible Quadrotor Simulator.
CoRL
Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza
2020 J jnl
Flightmare: A Flexible Quadrotor Simulator.
CoRR
Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza
2020 J jnl
Learning Depth With Very Sparse Supervision.
IEEE Robotics Autom. Lett.
Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza
2020 J jnl
Learning Depth via Interaction.
CoRR
Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza
2020 A* conf
Primal-Dual Mesh Convolutional Neural Networks.
NeurIPS
Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone
2020 J jnl
Primal-Dual Mesh Convolutional Neural Networks.
CoRR
Francesco Milano, Antonio Loquercio, Antoni Rosinol, Davide Scaramuzza, Luca Carlone
2019 J jnl
A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones.
IEEE Internet Things J.
Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini
2019 J jnl
A General Framework for Uncertainty Estimation in Deep Learning.
CoRR
Mattia Segù, Antonio Loquercio, Davide Scaramuzza
2019 J jnl
Deep Drone Racing: From Simulation to Reality with Domain Randomization.
CoRR
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2019 A* conf
End-to-End Learning of Representations for Asynchronous Event-Based Data.
ICCV
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza
2019 J jnl
End-to-End Learning of Representations for Asynchronous Event-Based Data.
CoRR
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza
2019 A* conf
Unsupervised Moving Object Detection via Contextual Information Separation.
CVPR
Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto
2019 J jnl
Unsupervised Moving Object Detection via Contextual Information Separation.
CoRR
Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto
2018 Misc conf
Deep Drone Racing: Learning Agile Flight in Dynamic Environments.
CoRL
Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2018 J jnl
Deep Drone Racing: Learning Agile Flight in Dynamic Environments.
CoRR
Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2018 J jnl
DroNet: Learning to Fly by Driving.
IEEE Robotics Autom. Lett.
Antonio Loquercio, Ana I. Maqueda, Carlos R. del-Blanco, Davide Scaramuzza
2018 A* conf
Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars.
CVPR
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso García, Davide Scaramuzza
2018 J jnl
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars.
CoRR
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso García, Davide Scaramuzza
2018 J jnl
Ultra Low Power Deep-Learning-powered Autonomous Nano Drones.
CoRR
Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini
2017 A* conf
Efficient descriptor learning for large scale localization.
ICRA
Antonio Loquercio, Marcin Dymczyk, Bernhard Zeisl, Simon Lynen, Igor Gilitschenski, Roland Siegwart
2017 A conf
Place Recognition in Semi-Dense Maps.
BMVC
Yawei Ye, Titus Cieslewski, Antonio Loquercio, Davide Scaramuzza