Výsledky vyhledávání

Akademický článek

Applying the Electrical Impedance Tomography to Assess Lung Regional Ventilation Distribution in ICU Patients After Cardiac Surgery and Exploring Its Preliminary Values

Autor: LIU Wenjia, ZHOU Runshi, LI Zunzhu, SU Longxiang, CUI Wenbo, LONG Yun, HE Huaiwu

Publikováno v: Xiehe Yixue Zazhi, Vol 15, Iss 3, Pp 573-579 (2024)

ObjectiveTo apply electrical impedance tomography (EIT) technology to assess the lung regional ventilation distribution in patients admitted to the intensive care unit (ICU) after a cardiac surgery, and to analyze its value of predicting patients' sh

Externí odkaz: https://doaj.org/article/497f0c77e16f4550a1897c3ef15386ea

Zobrazit plný text záznamu

Report

D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation

Autor: Wei, Songlin, Geng, Haoran, Chen, Jiayi, Deng, Congyue, Cui, Wenbo, Zhao, Chengyang, Fang, Xiaomeng, Guibas, Leonidas, Wang, He

Depth sensing is an important problem for 3D vision-based robotics. Yet, a real-world active stereo or ToF depth camera often produces noisy and incomplete depth which bottlenecks robot performances. In this work, we propose D3RoMa, a learning-based

Externí odkaz: http://arxiv.org/abs/2409.14365

Zobrazit plný text záznamu

Report

RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks

Autor: Chen, Yaran, Cui, Wenbo, Chen, Yuanwen, Tan, Mining, Zhang, Xinyao, Zhao, Dongbin, Wang, He

Robotic agents must master common sense and long-term sequential decisions to solve daily tasks through natural language instruction. The developments in Large Language Models (LLMs) in natural language processing have inspired efforts to use LLMs in

Externí odkaz: http://arxiv.org/abs/2311.15649

Zobrazit plný text záznamu