Zobrazeno 1 - 10
of 19 711
pro vyhledávání: '"Henrich, A."'
Natural language allows robot programming to be accessible to everyone. However, the inherent fuzziness in natural language poses challenges for inflexible, traditional robot systems. We focus on instructions with fuzzy time requirements (e.g., "star
Externí odkaz:
http://arxiv.org/abs/2411.09436
Accurately determining the shape and location of internal structures within deformable objects is crucial for medical tasks that require precise targeting, such as robotic biopsies. We introduce LUDO, a method for accurate low-latency understanding o
Externí odkaz:
http://arxiv.org/abs/2411.08777
Autor:
Henrich, Pit, Liu, Jiawei, Ge, Jiawei, Schmidgall, Samuel, Shepard, Lauren, Ghazi, Ahmed Ezzat, Mathis-Ullrich, Franziska, Krieger, Axel
To track tumors during surgery, information from preoperative CT scans is used to determine their position. However, as the surgeon operates, the tumor may be deformed which presents a major hurdle for accurately resecting the tumor, and can lead to
Externí odkaz:
http://arxiv.org/abs/2411.02619
Human-robot collaboration enables highly adaptive co-working. The variety of resulting workflows makes it difficult to measure metrics as, e.g. makespans or idle times for multiple systems and tasks in a comparable manner. This issue can be addressed
Externí odkaz:
http://arxiv.org/abs/2410.20549
Autor:
Zhou, Hans Aoyang, Theunissen, Jan, Kemmerling, Marco, Abdelrazeq, Anas, Schleifenbaum, Johannes Henrich, Schmitt, Robert H.
Reliably manufacturing defect free products is still an open challenge for Laser Powder Bed Fusion processes. Particularly, pores that occur frequently have a negative impact on mechanical properties like fatigue performance. Therefore, an accurate l
Externí odkaz:
http://arxiv.org/abs/2408.02507
We introduce a novel method employing occupancy networks for the precise localization of 67 anatomical structures from single depth images captured from the exterior of the human body. This method considers the anatomical diversity across individuals
Externí odkaz:
http://arxiv.org/abs/2406.12407
Autor:
Gill, Erin E., Jia, Baofeng, Murall, Carmen Lia, Poujol, Raphaël, Anwar, Muhammad Zohaib, John, Nithu Sara, Richardsson, Justin, Hobb, Ashley, Olabode, Abayomi S., Lepsa, Alexandru, Duggan, Ana T., Tyler, Andrea D., N'Guessan, Arnaud, Kachru, Atul, Chan, Brandon, Yoshida, Catherine, Yung, Christina K., Bujold, David, Andric, Dusan, Su, Edmund, Griffiths, Emma J., Van Domselaar, Gary, Jolly, Gordon W., Ward, Heather K. E., Feher, Henrich, Baker, Jared, Simpson, Jared T., Uddin, Jaser, Ragoussis, Jiannis, Eubank, Jon, Fritz, Jörg H., Gálvez, José Héctor, Fang, Karen, Cullion, Kim, Rivera, Leonardo, Xiang, Linda, Croxen, Matthew A., Shiell, Mitchell, Prystajecky, Natalie, Quirion, Pierre-Olivier, Bajari, Rosita, Rich, Samantha, Mubareka, Samira, Moreira, Sandrine, Cain, Scott, Sutcliffe, Steven G., Kraemer, Susanne A., Joly, Yann, Alturmessov, Yelizar, consortium, CPHLN, consortium, CanCOGeN, Academic, VirusSeq Data Portal, network, Health, Fiume, Marc, Snutch, Terrance P., Bell, Cindy, Lopez-Correa, Catalina, Hussin, Julie G., Joy, Jeffrey B., Colijn, Caroline, Gordon, Paul M. K., Hsiao, William W. L., Poon, Art F. Y., Knox, Natalie C., Courtot, Mélanie, Stein, Lincoln, Otto, Sarah P., Bourque, Guillaume, Shapiro, B. Jesse, Brinkman, Fiona S. L.
The COVID-19 pandemic led to a large global effort to sequence SARS-CoV-2 genomes from patient samples to track viral evolution and inform public health response. Millions of SARS-CoV-2 genome sequences have been deposited in global public repositori
Externí odkaz:
http://arxiv.org/abs/2405.04734
Autor:
Henrich, Jonathan, van Delden, Jan
The segmentation of individual trees from forest point clouds is a crucial task for downstream analyses such as carbon sequestration estimation. Recently, deep-learning-based methods have been proposed which show the potential of learning to segment
Externí odkaz:
http://arxiv.org/abs/2405.02061
Autor:
Gommes, Cedric J., Dubey, Purushottam S., Stadler, Andreas M., Wu, Baohu, Czakkel, Orsolya, Porcar, Lionel, Jaksch, Sebastian, Frielinghaus, Henrich, Holderer, Olaf
A mathematical model is developed, to jointly analyze elastic and inelastic scattering data of fluctuating membranes within a single theoretical framework. The model builds on a non-homogeneously clipped time-dependent Gaussian random field. This spe
Externí odkaz:
http://arxiv.org/abs/2404.08569
Publikováno v:
Phys. Rev. E 109, 065302 (2024)
Anisotropic particles are often encountered in different fields of soft matter and complex fluids. In this work, we present an implementation of the coupled hydrodynamics of solid ellipsoidal particles and the surrounding fluid using the lattice Bolt
Externí odkaz:
http://arxiv.org/abs/2403.05443