Zobrazeno 1 - 10
of 46 336
pro vyhledávání: '"Abhinav A."'
Parkinson's Disease (PD) is a degenerative neurological disorder that impairs motor and non-motor functions, significantly reducing quality of life and increasing mortality risk. Early and accurate detection of PD progression is vital for effective m
Externí odkaz:
http://arxiv.org/abs/2412.20744
Autor:
Yang, William Wang, Kona, Karthikeya, Jain, Yashveer, Bhamidipati, Abhinav, Atzili, Tomer, Lin, Xiaomin, Zha, Yantian
Current simulators lack the ability to accurately model integrated environments that encompass sea, air, and land. To address this gap, we introduce Aerial-Aquatic Manipulators (AAMs) in SEa, Air, and Land Simulator (SEALS), a comprehensive and photo
Externí odkaz:
http://arxiv.org/abs/2412.19744
The growing need for accurate and efficient 3D identification of tumors, particularly in liver segmentation, has spurred considerable research into deep learning models. While many existing architectures offer strong performance, they often face chal
Externí odkaz:
http://arxiv.org/abs/2412.19713
Federated learning (FL) is a distributed machine learning technique designed to preserve data privacy and security, and it has gained significant importance due to its broad range of applications. This paper addresses the problem of optimal functiona
Externí odkaz:
http://arxiv.org/abs/2412.18992
Recent interest in mobile manipulation has resulted in a wide range of new robot designs. A large family of these designs focuses on modular platforms that combine existing mobile bases with static manipulator arms. They combine these modules by moun
Externí odkaz:
http://arxiv.org/abs/2412.16635
Large Language Model (LLM) based coding tools have been tremendously successful as software development assistants, yet they are often designed for general purpose programming tasks and perform poorly for more specialized domains such as high perform
Externí odkaz:
http://arxiv.org/abs/2412.15178
How can we predict future interaction trajectories of human hands in a scene given high-level colloquial task specifications in the form of natural language? In this paper, we extend the classic hand trajectory prediction task to two tasks involving
Externí odkaz:
http://arxiv.org/abs/2412.13187
Autor:
Labiosa, Adam, Wang, Zhihan, Agarwal, Siddhant, Cong, William, Hemkumar, Geethika, Harish, Abhinav Narayan, Hong, Benjamin, Kelle, Josh, Li, Chen, Li, Yuhao, Shao, Zisen, Stone, Peter, Hanna, Josiah P.
Robot decision-making in partially observable, real-time, dynamic, and multi-agent environments remains a difficult and unsolved challenge. Model-free reinforcement learning (RL) is a promising approach to learning decision-making in such domains, ho
Externí odkaz:
http://arxiv.org/abs/2412.09417
Autor:
Agrawal, Abhinav, Domke, Justin
Normalizing flow-based variational inference (flow VI) is a promising approximate inference approach, but its performance remains inconsistent across studies. Numerous algorithmic choices influence flow VI's performance. We conduct a step-by-step ana
Externí odkaz:
http://arxiv.org/abs/2412.08824
Developing generalizable robot policies that can robustly handle varied environmental conditions and object instances remains a fundamental challenge in robot learning. While considerable efforts have focused on collecting large robot datasets and de
Externí odkaz:
http://arxiv.org/abs/2412.06784