Zobrazeno 1 - 10
of 5 002
pro vyhledávání: '"Zarrin, A A"'
Large language models (LLMs) hold promise for generating plans for complex tasks, but their effectiveness is limited by sequential execution, lack of control flow models, and difficulties in skill retrieval. Addressing these issues is crucial for imp
Externí odkaz:
http://arxiv.org/abs/2410.12870
In-hand manipulation of tools using dexterous hands in real-world is an underexplored problem in the literature. In addition to more complex geometry and larger size of the tools compared to more commonly used objects like cubes or cylinders, task or
Externí odkaz:
http://arxiv.org/abs/2410.07403
Autor:
Kumar, Abhinav, Power, Thomas, Yang, Fan, Marinovic, Sergio Aguilera, Iba, Soshi, Zarrin, Rana Soltani, Berenson, Dmitry
Planning contact-rich interactions for multi-finger manipulation is challenging due to the high-dimensionality and hybrid nature of dynamics. Recent advances in data-driven methods have shown promise, but are sensitive to the quality of training data
Externí odkaz:
http://arxiv.org/abs/2410.00841
Large Language Models (LLMs) have shown significant promise in plan generation. Yet, existing datasets often lack the complexity needed for advanced tool use scenarios - such as handling paraphrased query statements, supporting multiple languages, an
Externí odkaz:
http://arxiv.org/abs/2409.09191
Autor:
Yang, Fan, Power, Thomas, Marinovic, Sergio Aguilera, Iba, Soshi, Zarrin, Rana Soltani, Berenson, Dmitry
Parameterizing finger rolling and finger-object contacts in a differentiable manner is important for formulating dexterous manipulation as a trajectory optimization problem. In contrast to previous methods which often assume simplified geometries of
Externí odkaz:
http://arxiv.org/abs/2408.13229
Background and Objective: This article concerns a diffusion-based mathematical model for analyzing blood flow and oxygen transport within the capillaries, emphasizing its significance in understanding the physiological and biochemical dynamics of the
Externí odkaz:
http://arxiv.org/abs/2407.17082
Autor:
Gu, Hongyan, Yang, Chunxu, Magaki, Shino, Zarrin-Khameh, Neda, Lakis, Nelli S., Cobos, Inma, Khanlou, Negar, Zhang, Xinhai R., Assi, Jasmeet, Byers, Joshua T., Hamza, Ameer, Han, Karam, Meyer, Anders, Mirbaha, Hilda, Mohila, Carrie A., Stevens, Todd M., Stone, Sara L., Yan, Wenzhong, Haeri, Mohammad, Chen, Xiang 'Anthony'
As Artificial Intelligence (AI) making advancements in medical decision-making, there is a growing need to ensure doctors develop appropriate reliance on AI to avoid adverse outcomes. However, existing methods in enabling appropriate AI reliance migh
Externí odkaz:
http://arxiv.org/abs/2404.04485
Autor:
Ahmadkhah, N., Zarrin, M.
For any group G, let $cent(G)$ denote the set of all centralizers of $G$. The authors in \cite{KZ}, Groups with the same number of centralizers, J. Algebra Appl. (2021) 2150012 (6 pages), posed the following conjecture: Let $G$ and $S$ be finite grou
Externí odkaz:
http://arxiv.org/abs/2402.15918
Autor:
Ahmadkhah, N., Zarrin, M.
For a finite group $G$ and an element $x\in G$, the subset $$ nil_G(x)=\{y\in G \mid ~~ is ~~ nilpotent\}$$ is called nilpotentizer of $x$ in $G$. In this paper, we give two solvabilty criteria for a finite group by the structure and the size of
Externí odkaz:
http://arxiv.org/abs/2402.15916
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract In this study, a comprehensive methodology combining machine learning and statistical analysis was employed to investigate alterations in the metabolite profiles, including lipids, of breast cancer tissues and their subtypes. By integrating
Externí odkaz:
https://doaj.org/article/7fd237737d29484fa07e8b151e678bb3
