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08/31/2023
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges
Shared benchmark problems have historically been a fundamental driver of...
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07/12/2023
Agilicious: Open-Source and Open-Hardware Agile Quadrotor for Vision-Based Flight
Autonomous, agile quadrotor flight raises fundamental challenges for rob...
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01/04/2023
Autonomous Drone Racing: A Survey
Over the last decade, the use of autonomous drone systems for surveying,...
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09/26/2022
Training Efficient Controllers via Analytic Policy Gradient
Control design for robotic systems is complex and often requires solving...
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01/07/2022
Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents
Humans race drones faster than neural networks trained for end-to-end au...
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10/11/2021
Learning High-Speed Flight in the Wild
Quadrotors are agile. Unlike most other machines, they can traverse extr...
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03/19/2021
AutoTune: Controller Tuning for High-Speed Flight
Due to noisy actuation and external disturbances, tuning controllers for...
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10/23/2020
Primal-Dual Mesh Convolutional Neural Networks
Recent works in geometric deep learning have introduced neural networks ...
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09/01/2020
Flightmare: A Flexible Quadrotor Simulator
Currently available quadrotor simulators have a rigid and highly-special...
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06/10/2020
Deep Drone Acrobatics
Performing acrobatic maneuvers with quadrotors is extremely challenging....
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03/20/2020
Event-based Asynchronous Sparse Convolutional Networks
Event cameras are bio-inspired sensors that respond to per-pixel brightn...
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03/02/2020
Learning Depth via Interaction
Motivated by the astonishing capabilities of natural intelligent agents ...
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07/16/2019
A General Framework for Uncertainty Estimation in Deep Learning
End-to-end learning has recently emerged as a promising technique to tac...
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05/21/2019
Deep Drone Racing: From Simulation to Reality with Domain Randomization
Dynamically changing environments, unreliable state estimation, and oper...
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04/17/2019
End-to-End Learning of Representations for Asynchronous Event-Based Data
Event cameras are vision sensors that record asynchronous streams of per...
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01/10/2019
Unsupervised Moving Object Detection via Contextual Information Separation
We propose an adversarial contextual model for detecting moving objects ...
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06/22/2018
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Autonomous agile flight brings up fundamental challenges in robotics, su...
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05/04/2018
Ultra Low Power Deep-Learning-powered Autonomous Nano Drones
Flying in dynamic, urban, highly-populated environments represents an op...
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04/04/2018
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars
Event cameras are bio-inspired vision sensors that naturally capture the...
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03/06/2017