Zobrazeno 1 - 10
of 11 024
pro vyhledávání: '"Knoll, P"'
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
Deep Neural Networks (DNNs) have become central for the perception functions of autonomous vehicles, substantially enhancing their ability to understand and interpret the environment. However, these systems exhibit inherent limitations such as brittl
Externí odkaz:
http://arxiv.org/abs/2408.17222
Autor:
Mohamed, Sondos, Zimmer, Walter, Greer, Ross, Ghita, Ahmed Alaaeldin, Castrillón-Santana, Modesto, Trivedi, Mohan, Knoll, Alois, Carta, Salvatore Mario, Marras, Mirko
Accurately detecting 3D objects from monocular images in dynamic roadside scenarios remains a challenging problem due to varying camera perspectives and unpredictable scene conditions. This paper introduces a two-stage training strategy to address th
Externí odkaz:
http://arxiv.org/abs/2408.15637