Zobrazeno 1 - 10
of 1 079
pro vyhledávání: '"P. Ghidoni"'
Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination
Autor:
Barcellona, Leonardo, Zadaianchuk, Andrii, Allegro, Davide, Papa, Samuele, Ghidoni, Stefano, Gavves, Efstratios
A world model provides an agent with a representation of its environment, enabling it to predict the causal consequences of its actions. Current world models typically cannot directly and explicitly imitate the actual environment in front of a robot,
Externí odkaz:
http://arxiv.org/abs/2412.14957
This paper presents MEMROC (Multi-Eye to Mobile RObot Calibration), a novel motion-based calibration method that simplifies the process of accurately calibrating multiple cameras relative to a mobile robot's reference frame. MEMROC utilizes a known c
Externí odkaz:
http://arxiv.org/abs/2410.08805
Autor:
Bacchin, Alberto, Barcellona, Leonardo, Terreran, Matteo, Ghidoni, Stefano, Menegatti, Emanuele, Kiyokawa, Takuya
Robotic waste sorting poses significant challenges in both perception and manipulation, given the extreme variability of objects that should be recognized on a cluttered conveyor belt. While deep learning has proven effective in solving complex tasks
Externí odkaz:
http://arxiv.org/abs/2409.16999
Out-of-Distribution (OOD) detection in computer vision is a crucial research area, with related benchmarks playing a vital role in assessing the generalizability of models and their applicability in real-world scenarios. However, existing OOD benchma
Externí odkaz:
http://arxiv.org/abs/2409.01109
Robust 3D human pose estimation is crucial to ensure safe and effective human-robot collaboration. Accurate human perception,however, is particularly challenging in these scenarios due to strong occlusions and limited camera viewpoints. Current 3D hu
Externí odkaz:
http://arxiv.org/abs/2408.15810
In industrial scenarios, effective human-robot collaboration relies on multi-camera systems to robustly monitor human operators despite the occlusions that typically show up in a robotic workcell. In this scenario, precise localization of the person
Externí odkaz:
http://arxiv.org/abs/2406.11392
Autor:
Barcellona, Leonardo, Bacchin, Alberto, Terreran, Matteo, Menegatti, Emanuele, Ghidoni, Stefano
The ability of a robot to pick an object, known as robot grasping, is crucial for several applications, such as assembly or sorting. In such tasks, selecting the right target to pick is as essential as inferring a correct configuration of the gripper
Externí odkaz:
http://arxiv.org/abs/2404.12717
Autor:
Mauro Galizia, Valentina Ghidoni, Giulia Catozzi, Stefano Giovanazzi, Domenico Nocera, Beatrice Donati, Tommaso Pozzi, Rosanna D’Albo, Mattia Busana, Federica Romitti, Peter Herrmann, Onnen Moerer, Konrad Meissner, Michael Quintel, Luigi Camporota, Luciano Gattinoni
Publikováno v:
Intensive Care Medicine Experimental, Vol 12, Iss 1, Pp 1-9 (2024)
Abstract Background Ventilator-induced lung injury (VILI) is one of the side effects of mechanical ventilation during ARDS; a prerequisite for averting it is the quantification of its risk factors associated with a given ventilatory setting. Many cli
Externí odkaz:
https://doaj.org/article/a07e79828b034ebbaa483a072001ab0d
Autor:
Laura Würzburger, Jan Gerrit van der Stouwe, Céline Ghidoni, Patrick Wiech, Georg Moser, Gloria Petrasch, Victor Schweiger, Philipp Bohm, Valentina A. Rossi, Christian Templin, Stefano Caselli, Christian M. Schmied, David Niederseer
Publikováno v:
The Journal of Clinical Hypertension, Vol 26, Iss 11, Pp 1209-1218 (2024)
Abstract A hypertensive response to exercise is a precursor leading to hypertension, which is a major risk factor for the development of heart failure and diastolic dysfunction. Herein, we aimed to assess blood pressure (BP) in patients with a hypert
Externí odkaz:
https://doaj.org/article/7e269b5eb8ba4237945d394fb3b9d813
Autor:
Giovanni de Girolamo, Silvia Leone, Miriam D’Addazio, Elena Toffol, Alessandra Martinelli, Sonia Bellini, Stefano Calza, Martina Carnevale, Nadia Cattane, Annamaria Cattaneo, Roberta Ghidoni, Antonio Longobardi, Deborah Maffezzoni, Donato Martella, Serena Meloni, Elisa Mombelli, Silvia Pogliaghi, Claudia Saraceno, Giovanni Battista Tura, Roberta Rossi
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background Current treatments for mental disorders, like pharmacotherapy or psychological approaches, do not lead to full remission in all individuals. Physical activity (PA) is effective at improving psycho-physical health in major depressi
Externí odkaz:
https://doaj.org/article/3a50eb5751c146fda3b62b317726c5a6