Zobrazeno 1 - 10
of 473
pro vyhledávání: '"Liu Ziang"'
The paper presents REPeat, a Real2Sim2Real framework designed to enhance bite acquisition in robot-assisted feeding for soft foods. It uses `pre-acquisition actions' such as pushing, cutting, and flipping to improve the success rate of bite acquisiti
Externí odkaz:
http://arxiv.org/abs/2410.10017
Preference-Based reinforcement learning (PBRL) learns directly from the preferences of human teachers regarding agent behaviors without needing meticulously designed reward functions. However, existing PBRL methods often learn primarily from explicit
Externí odkaz:
http://arxiv.org/abs/2409.07268
One of the most effective ways to treat liver cancer is to perform precise liver resection surgery, the key step of which includes precise digital image segmentation of the liver and its tumor. However, traditional liver parenchymal segmentation tech
Externí odkaz:
http://arxiv.org/abs/2406.05170
The increasing frequency of extreme weather events has posed significant risks to the operation of power grids. During long-duration extreme weather events, microgrid formation (MF) is an essential solution to enhance the resilience of the distributi
Externí odkaz:
http://arxiv.org/abs/2405.20733
Aiming at the limitations of traditional medical decision system in processing large-scale heterogeneous medical data and realizing highly personalized recommendation, this paper introduces a personalized medical decision algorithm utilizing graph ne
Externí odkaz:
http://arxiv.org/abs/2405.17460
This paper combines Struts and Hibernate two architectures together, using DAO (Data Access Object) to store and access data. Then a set of dual-mode humidity medical image library suitable for deep network is established, and a dual-mode medical ima
Externí odkaz:
http://arxiv.org/abs/2404.18419
The success of full-stack full-duplex communication systems depends on how effectively one can achieve digital self-interference cancellation (SIC). Towards this end, in this paper, we consider unlimited sensing framework (USF) enabled full-duplex sy
Externí odkaz:
http://arxiv.org/abs/2404.08610
Autor:
Gordon, Ethan Kroll, Jenamani, Rajat Kumar, Nanavati, Amal, Liu, Ziang, Bolotski, Haya, Karim, Raida, Stabile, Daniel, Kashyap, Atharva, Zhu, Bernie Hao, Dai, Xilai, Schrenk, Tyler, Ko, Jonathan, Faulkner, Taylor Kessler, Bhattacharjee, Tapomayukh, Srinivasa, Siddhartha
We demonstrate a robot-assisted feeding system that enables people with mobility impairments to feed themselves. Our system design embodies Safety, Portability, and User Control, with comprehensive full-stack safety checks, the ability to be mounted
Externí odkaz:
http://arxiv.org/abs/2403.04134
Autor:
Jenamani, Rajat Kumar, Stabile, Daniel, Liu, Ziang, Anwar, Abrar, Dimitropoulou, Katherine, Bhattacharjee, Tapomayukh
Robot-assisted feeding can greatly enhance the lives of those with mobility limitations. Modern feeding systems can pick up and position food in front of a care recipient's mouth for a bite. However, many with severe mobility constraints cannot lean
Externí odkaz:
http://arxiv.org/abs/2403.04067
Low earth orbit (LEO) satellite systems with sensing functionality are envisioned to facilitate global-coverage service and emerging applications in 6G. Currently, two fundamental challenges, namely, inter-beam interference among users and power limi
Externí odkaz:
http://arxiv.org/abs/2402.09253