351 citations · 1.2k across the 28 of their papers we have counts for
36 papers · 1 filter
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing
Jiawei Fu, Yunlong Song, Yan Wu +2
Autonomous drones can operate in remote and unstructured environments, enabling various real-world applications. However, the lack of effective vision-based algorithms has been a s…
Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry
Vincenzo Polizzi, Robert Hewitt, Javier Hidalgo-Carrió +2
We propose a system solution to achieve data-efficient, decentralized state estimation for a team of flying robots using thermal images and inertial measurements. Each robot can fl…
Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents
Christian Pfeiffer, Simon Wengeler, Antonio Loquercio +1
Humans race drones faster than neural networks trained for end-to-end autonomous flight. This may be related to the ability of human pilots to select task-relevant visual informati…
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight
Elia Kaufmann, Leonard Bauersfeld, Davide Scaramuzza
Quadrotors are highly nonlinear dynamical systems that require carefully tuned controllers to be pushed to their physical limits. Recently, learning-based control policies have bee…
Continuous-Time vs. Discrete-Time Vision-based SLAM: A Comparative Study
Giovanni Cioffi, Titus Cieslewski, Davide Scaramuzza
Robotic practitioners generally approach the vision-based SLAM problem through discrete-time formulations. This has the advantage of a consolidated theory and very good understandi…
Perception-Aware Perching on Powerlines with Multirotors
Julio L. Paneque, Jose Ramiro Martínez de Dios, Aníbal Ollero. Drew Hanover +3
Multirotor aerial robots are becoming widely used for the inspection of powerlines. To enable continuous, robust inspection without human intervention, the robots must be able to p…