Zobrazeno 1 - 10
of 356
pro vyhledávání: '"Romero, Ángel"'
Publikováno v:
Robotics: Science and Systems (RSS), 2024
Quadrotors are among the most agile flying robots. Despite recent advances in learning-based control and computer vision, autonomous drones still rely on explicit state estimation. On the other hand, human pilots only rely on a first-person-view vide
Externí odkaz:
http://arxiv.org/abs/2406.12505
Autor:
Krinner, Maria, Romero, Angel, Bauersfeld, Leonard, Zeilinger, Melanie, Carron, Andrea, Scaramuzza, Davide
Publikováno v:
Robotics: Science and Systems (RSS), 2024
Quadrotor flight is an extremely challenging problem due to the limited control authority encountered at the limit of handling. Model Predictive Contouring Control (MPCC) has emerged as a promising model-based approach for time optimization problems
Externí odkaz:
http://arxiv.org/abs/2403.17551
Learning visuomotor policies for agile quadrotor flight presents significant difficulties, primarily from inefficient policy exploration caused by high-dimensional visual inputs and the need for precise and low-latency control. To address these chall
Externí odkaz:
http://arxiv.org/abs/2403.12203
Publikováno v:
Science Robotics, 2023
A central question in robotics is how to design a control system for an agile mobile robot. This paper studies this question systematically, focusing on a challenging setting: autonomous drone racing. We show that a neural network controller trained
Externí odkaz:
http://arxiv.org/abs/2310.10943
Publikováno v:
The Spanish Meeting on Cryptology and Information Security (RECSI), 2022
Security metrics are not standardized, but inter-national proposals such as the Common Vulnerability ScoringSystem (CVSS) for quantifying the severity of known vulnerabil-ities are widely used. Many CVSS aggregation mechanisms havebeen proposed in th
Externí odkaz:
http://arxiv.org/abs/2310.02062
Autor:
L'Erario, Giuseppe, Hanover, Drew, Romero, Angel, Song, Yunlong, Nava, Gabriele, Viceconte, Paolo Maria, Pucci, Daniele, Scaramuzza, Davide
Robot multimodal locomotion encompasses the ability to transition between walking and flying, representing a significant challenge in robotics. This work presents an approach that enables automatic smooth transitions between legged and aerial locomot
Externí odkaz:
http://arxiv.org/abs/2309.12784
Autor:
Foehn, Philipp, Kaufmann, Elia, Romero, Angel, Penicka, Robert, Sun, Sihao, Bauersfeld, Leonard, Laengle, Thomas, Cioffi, Giovanni, Song, Yunlong, Loquercio, Antonio, Scaramuzza, Davide
Publikováno v:
Science Robotics Vol. 7, Issue 67, 2022
Autonomous, agile quadrotor flight raises fundamental challenges for robotics research in terms of perception, planning, learning, and control. A versatile and standardized platform is needed to accelerate research and let practitioners focus on the
Externí odkaz:
http://arxiv.org/abs/2307.06100
An open research question in robotics is how to combine the benefits of model-free reinforcement learning (RL) -- known for its strong task performance and flexibility in optimizing general reward formulations -- with the robustness and online replan
Externí odkaz:
http://arxiv.org/abs/2306.09852