Zobrazeno 1 - 10
of 10 983
pro vyhledávání: '"P, Knoll"'
Across many plasma applications, the underlying phenomena and interactions among the involved processes are known to exhibit three-dimensional characteristics. Furthermore, the global properties and evolution of plasma systems are often determined by
Externí odkaz:
http://arxiv.org/abs/2411.05759
Latest progress on the reduced-order particle-in-cell scheme: I. refining the underlying formulation
The particle-in-cell (PIC) method is a well-established and widely used kinetic plasma modelling approach that provides a hybrid Lagrangian-Eulerian approach to solve the plasma kinetic equation. Despite its power in capturing details of the underlyi
Externí odkaz:
http://arxiv.org/abs/2411.05751
Autor:
Zhang, Liding, Cai, Kuanqi, Sun, Zewei, Bing, Zhenshan, Wang, Chaoqun, Figueredo, Luis, Haddadin, Sami, Knoll, Alois
Recent advancements in robotics have transformed industries such as manufacturing, logistics, surgery, and planetary exploration. A key challenge is developing efficient motion planning algorithms that allow robots to navigate complex environments wh
Externí odkaz:
http://arxiv.org/abs/2410.19414
We compute the MU-based syntomic cohomologies, mod $(p,v_1,\cdots,v_{n+1})$, of all $\mathbb{E}_1$-MU-algebra forms of connective Morava K-theory k(n). As qualitative consequences, we deduce the Lichtenbaum--Quillen conjecture, telescope conjecture,
Externí odkaz:
http://arxiv.org/abs/2410.07048
Autor:
Amjad, Haadia, Goeller, Kilian, Seitz, Steffen, Knoll, Carsten, Bajwa, Naseer, Tetzlaff, Ronald, Malik, Muhammad Imran
Deep learning is actively being used in biometrics to develop efficient identification and verification systems. Handwritten signatures are a common subset of biometric data for authentication purposes. Generative adversarial networks (GANs) learn fr
Externí odkaz:
http://arxiv.org/abs/2410.06041
Autor:
Atzori, Francesco, Rebufello, Enrico, Violaris, Maria, Knoll, Laura T., Alhajri, Abdulla, Avella, Alessio, Gramegna, Marco, Marletto, Chiara, Vedral, Vlatko, Piacentini, Fabrizio, Degiovanni, Ivo Pietro, Genovese, Marco
Quantum theory is notoriously counterintuitive, and yet remains entirely self-consistent when applied universally. Here we uncover a new manifestation of its unusual consequences. We demonstrate, theoretically and experimentally (by means of polariza
Externí odkaz:
http://arxiv.org/abs/2409.20480
We provide a unifying framework for studying variants of topological Hochschild homology such as Real topological Hochschild homology. Associated to a crossed simplicial group $\Delta G$, a category that generalizes Connes' cyclic category, we introd
Externí odkaz:
http://arxiv.org/abs/2409.18187
Ontological commitment, i.e., used concepts, relations, and assumptions, are a corner stone of qualitative reasoning (QR) models. The state-of-the-art for processing raw inputs, though, are deep neural networks (DNNs), nowadays often based off from m
Externí odkaz:
http://arxiv.org/abs/2409.17109
Autor:
Chen, Kejia, Shen, Zheng, Zhang, Yue, Chen, Lingyun, Wu, Fan, Bing, Zhenshan, Haddadin, Sami, Knoll, Alois
Large Language Models (LLMs) have gained popularity in task planning for long-horizon manipulation tasks. To enhance the validity of LLM-generated plans, visual demonstrations and online videos have been widely employed to guide the planning process.
Externí odkaz:
http://arxiv.org/abs/2409.11863
Autor:
Wu, Yansong, Chen, Zongxie, Wu, Fan, Chen, Lingyun, Zhang, Liding, Bing, Zhenshan, Swikir, Abdalla, Knoll, Alois, Haddadin, Sami
Assembly is a crucial skill for robots in both modern manufacturing and service robotics. However, mastering transferable insertion skills that can handle a variety of high-precision assembly tasks remains a significant challenge. This paper presents
Externí odkaz:
http://arxiv.org/abs/2409.11047