Zobrazeno 1 - 10
of 3 503
pro vyhledávání: '"Haugaard AS"'
Autor:
Vutukur, Shishir Reddy, Haugaard, Rasmus Laurvig, Huang, Junwen, Busam, Benjamin, Birdal, Tolga
Object pose distribution estimation is crucial in robotics for better path planning and handling of symmetric objects. Recent distribution estimation approaches employ contrastive learning-based approaches by maximizing the likelihood of a single pos
Externí odkaz:
http://arxiv.org/abs/2409.06683
Autor:
Antalík, Andrej, Levy, Andrea, Kvedaravičiūtė, Sonata, Johnson, Sophia K., Carrasco-Busturia, David, Raghavan, Bharath, Mouvet, François, Acocella, Angela, Das, Sambit, Gavini, Vikram, Mandelli, Davide, Ippoliti, Emiliano, Meloni, Simone, Carloni, Paolo, Rothlisberger, Ursula, Olsen, Jógvan Magnus Haugaard
MiMiC is a framework for performing multiscale simulations in which loosely coupled external programs describe individual subsystems at different resolutions and levels of theory. To make it highly efficient and flexible, we adopt an interoperable ap
Externí odkaz:
http://arxiv.org/abs/2403.19035
Autor:
Carrasco-Busturia, David, Ippoliti, Emiliano, Meloni, Simone, Rothlisberger, Ursula, Olsen, Jógvan Magnus Haugaard
The complexity of biological systems and processes, spanning molecular to macroscopic scales, necessitates the use of multiscale simulations to get a comprehensive understanding. Quantum mechanics/molecular mechanics (QM/MM) molecular dynamics (MD) s
Externí odkaz:
http://arxiv.org/abs/2403.01511
Calibration of fixtures in robotic work cells is essential but also time consuming and error-prone, and poor calibration can easily lead to wasted debugging time in downstream tasks. Contact-based calibration methods let the user measure points on th
Externí odkaz:
http://arxiv.org/abs/2402.18123
Autor:
Jonas Stiegler, Cara A. Gallagher, Robert Hering, Thomas Müller, Marlee Tucker, Marco Apollonio, Janosch Arnold, Nancy A. Barker, Leon Barthel, Bruno Bassano, Floris M. van Beest, Jerrold L. Belant, Anne Berger, Dean E. Beyer Jr, Laura R. Bidner, Stephen Blake, Konstantin Börner, Francesca Brivio, Rudy Brogi, Bayarbaatar Buuveibaatar, Francesca Cagnacci, Jasja Dekker, Jane Dentinger, Martin Duľa, Jarred F. Duquette, Jana A. Eccard, Meaghan N. Evans, Adam W. Ferguson, Claudia Fichtel, Adam T. Ford, Nicholas L. Fowler, Benedikt Gehr, Wayne M. Getz, Jacob R. Goheen, Benoit Goossens, Stefano Grignolio, Lars Haugaard, Morgan Hauptfleisch, Morten Heim, Marco Heurich, Mark A. J. Hewison, Lynne A. Isbell, René Janssen, Anders Jarnemo, Florian Jeltsch, Jezek Miloš, Petra Kaczensky, Tomasz Kamiński, Peter Kappeler, Katharina Kasper, Todd M. Kautz, Sophia Kimmig, Petter Kjellander, Rafał Kowalczyk, Stephanie Kramer-Schadt, Max Kröschel, Anette Krop-Benesch, Peter Linderoth, Christoph Lobas, Peter Lokeny, Mia-Lana Lührs, Stephanie S. Matsushima, Molly M. McDonough, Jörg Melzheimer, Nicolas Morellet, Dedan K. Ngatia, Leopold Obermair, Kirk A. Olson, Kidan C. Patanant, John C. Payne, Tyler R. Petroelje, Manuel Pina, Josep Piqué, Joseph Premier, Jan Pufelski, Lennart Pyritz, Maurizio Ramanzin, Manuel Roeleke, Christer M. Rolandsen, Sonia Saïd, Robin Sandfort, Krzysztof Schmidt, Niels M. Schmidt, Carolin Scholz, Nadine Schubert, Nuria Selva, Agnieszka Sergiel, Laurel E. K. Serieys, Václav Silovský, Rob Slotow, Leif Sönnichsen, Erling J. Solberg, Mikkel Stelvig, Garrett M. Street, Peter Sunde, Nathan J. Svoboda, Maria Thaker, Maxi Tomowski, Wiebke Ullmann, Abi T. Vanak, Bettina Wachter, Stephen L. Webb, Christopher C. Wilmers, Filip Zieba, Tomasz Zwijacz-Kozica, Niels Blaum
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Wildlife tagging provides critical insights into animal movement ecology, physiology, and behavior amid global ecosystem changes. However, the stress induced by capture, handling, and tagging can impact post-release locomotion and activity a
Externí odkaz:
https://doaj.org/article/8a567bd4bfa54bc6bfe6f85c5511ead1
In this paper, we present KeyMatchNet, a novel network for zero-shot pose estimation in 3D point clouds. Our method uses only depth information, making it more applicable for many industrial use cases, as color information is seldom available. The ne
Externí odkaz:
http://arxiv.org/abs/2303.16102
Object pose estimation is a core computer vision problem and often an essential component in robotics. Pose estimation is usually approached by seeking the single best estimate of an object's pose, but this approach is ill-suited for tasks involving
Externí odkaz:
http://arxiv.org/abs/2303.05308
In many automation tasks involving manipulation of rigid objects, the poses of the objects must be acquired. Vision-based pose estimation using a single RGB or RGB-D sensor is especially popular due to its broad applicability. However, single-view po
Externí odkaz:
http://arxiv.org/abs/2210.00924
Publikováno v:
The 33rd British Machine Vision Conference Proceedings: BMVC 2022
The estimation of 6D poses of rigid objects is a fundamental problem in computer vision. Traditionally pose estimation is concerned with the determination of a single best estimate. However, a single estimate is unable to express visual ambiguity, wh
Externí odkaz:
http://arxiv.org/abs/2209.09659
Many industrial assembly tasks involve peg-in-hole like insertions with sub-millimeter tolerances which are challenging, even in highly calibrated robot cells. Visual servoing can be employed to increase the robustness towards uncertainties in the sy
Externí odkaz:
http://arxiv.org/abs/2206.08800