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pro vyhledávání: '"Hostettler A"'
Industrial robots become increasingly prevalent, resulting in a growing need for intuitive, comforting human-robot collaboration. We present a user-aware robotic system that adapts to operator behavior in real time while non-intrusively monitoring ph
Externí odkaz:
http://arxiv.org/abs/2409.09429
Autor:
Hostettler, Damian
The influence of individual differences on the perception and evaluation of interactions with robots has been researched for decades. Some human demographic characteristics have been shown to affect how individuals perceive interactions with robots.
Externí odkaz:
http://arxiv.org/abs/2409.05049
Autor:
Hostettler, Damian
Purpose: Industrial robots allow manufacturing companies to increase productivity and remain competitive. For robots to be used, they must be accepted by operators on the one hand and bought by decision-makers on the other. The roles involved in such
Externí odkaz:
http://arxiv.org/abs/2409.05016
Autor:
Ndzimbong, William, Fourniol, Cyril, Themyr, Loic, Thome, Nicolas, Keeza, Yvonne, Sauer, Beniot, Piechaud, Pierre-Thierry, Mejean, Arnaud, Marescaux, Jacques, George, Daniel, Mutter, Didier, Hostettler, Alexandre, Collins, Toby
Inter-modal image registration (IMIR) and image segmentation with abdominal Ultrasound (US) data has many important clinical applications, including image-guided surgery, automatic organ measurement and robotic navigation. However, research is severe
Externí odkaz:
http://arxiv.org/abs/2310.12646
Autor:
Birkner, Joseph, Dolp, Andreas, Karimi, Negin, Basargin, Nikita, Kharchenko, Alona, Hostettler, Rafael
In human-robot interaction policy design, a rule-based method is efficient, explainable, expressive and intuitive. In this paper, we present the Signal-Rule-Slot framework, which refines prior work on rule-based symbol system design and introduces a
Externí odkaz:
http://arxiv.org/abs/2310.01943
Autor:
Mazellier, Jean-Paul, Bour-Lang, Méline, Bourouis, Sabrina, Moreau, Johan, Muzuri, Aimable, Schweitzer, Olivier, Vatsaev, Aslan, Waechter, Julien, Wernert, Emilie, Woelffel, Frederic, Hostettler, Alexandre, Padoy, Nicolas, Bridault, Flavien
This technical report presents Indexity 1.4.0, a web-based tool designed for medical video annotation in surgical data science projects. We describe the main features available for the management of videos, annotations, ontology and users, as well as
Externí odkaz:
http://arxiv.org/abs/2306.14780
Autor:
Tim Jonas Hallenberger, Urs Fischer, Leo Hermann Bonati, Gilles Dutilh, Rosine Mucklow, Andrea Sarti Vogt, Claudia Boeni-Eckstein, Andrea Cardia, Gerrit A. Schubert, Phillipe Bijlenga, Mahmoud Messerer, Andreas Raabe, Kevin Akeret, Christian Zweifel, Jens Kuhle, Alex Alfieri, Jean-Yves Fournier, Javier Fandino, Isabel Charlotte Hostettler, Ulf Christoph Schneider, Raphael Guzman, Jehuda Soleman
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-21 (2024)
Abstract Background Spontaneous supratentorial intracerebral hemorrhage is the deadliest form of stroke with mortality rates over 50%. Currently, no sufficiently effective treatment to improve both mortality and functional outcome rates exists. Howev
Externí odkaz:
https://doaj.org/article/1f7fb84de96940eb8083d1b238383f00
Autor:
Chmielińska, Agnieszka, Fiscarelli, Lucio, Hostettler, Michi, Kozanecki, Witold, Russenschuck, Stephan, Todesco, Ezio
Superconducting accelerator magnets have a nonlinear dependence of field on current due to the magnetization associated with the iron or with persistent currents in the superconducting filaments. This also gives rise to hysteresis phenomena that crea
Externí odkaz:
http://arxiv.org/abs/2304.06559
Transformers have proved to be very effective for visual recognition tasks. In particular, vision transformers construct compressed global representations through self-attention and learnable class tokens. Multi-resolution transformers have shown rec
Externí odkaz:
http://arxiv.org/abs/2212.07890
Transformer models achieve state-of-the-art results for image segmentation. However, achieving long-range attention, necessary to capture global context, with high-resolution 3D images is a fundamental challenge. This paper introduces the Full resolu
Externí odkaz:
http://arxiv.org/abs/2210.05313