Zobrazeno 41 - 50
of 1 962
pro vyhledávání: '"Zhang, Xiaohan"'
Cross-view geo-localization aims to estimate the GPS location of a query ground-view image by matching it to images from a reference database of geo-tagged aerial images. To address this challenging problem, recent approaches use panoramic ground-vie
Externí odkaz:
http://arxiv.org/abs/2210.14295
Autor:
Lew, Thomas, Singh, Sumeet, Prats, Mario, Bingham, Jeffrey, Weisz, Jonathan, Holson, Benjie, Zhang, Xiaohan, Sindhwani, Vikas, Lu, Yao, Xia, Fei, Xu, Peng, Zhang, Tingnan, Tan, Jie, Gonzalez, Montserrat
We propose a framework to enable multipurpose assistive mobile robots to autonomously wipe tables to clean spills and crumbs. This problem is challenging, as it requires planning wiping actions while reasoning over uncertain latent dynamics of crumbs
Externí odkaz:
http://arxiv.org/abs/2210.10865
Decentralized optimization is effective to save communication in large-scale machine learning. Although numerous algorithms have been proposed with theoretical guarantees and empirical successes, the performance limits in decentralized optimization,
Externí odkaz:
http://arxiv.org/abs/2210.07863
Given the current point-to-point navigation capabilities of autonomous vehicles, researchers are looking into complex service requests that require the vehicles to visit multiple points of interest. In this paper, we develop a layered planning framew
Externí odkaz:
http://arxiv.org/abs/2210.02302
Autor:
Ding, Yan, Zhang, Xiaohan, Amiri, Saeid, Cao, Nieqing, Yang, Hao, Esselink, Chad, Zhang, Shiqi
Automated task planning algorithms have been developed to help robots complete complex tasks that require multiple actions. Most of those algorithms have been developed for "closed worlds" assuming complete world knowledge is provided. However, the r
Externí odkaz:
http://arxiv.org/abs/2210.01287
Publikováno v:
Xibei zhiwu xuebao, Vol 44, Iss 2, Pp 330-337 (2024)
Abstract [Objective] In order to reveal the effects of non-grazing restriction on ecological niches and interspecific associations of the herbaceous species in the dominant plant communities in the temperate grasslands of the Kuizu Mountains in Lin
Externí odkaz:
https://doaj.org/article/e74cfa10e1a4448988f57476514106f0
Humans interact with an object in many different ways by making contact at different locations, creating a highly complex motion space that can be difficult to learn, particularly when synthesizing such human interactions in a controllable manner. Ex
Externí odkaz:
http://arxiv.org/abs/2205.00541
In this paper, we focus on a new and challenging decentralized machine learning paradigm in which there are continuous inflows of data to be addressed and the data are stored in multiple repositories. We initiate the study of data decentralized class
Externí odkaz:
http://arxiv.org/abs/2203.05984
Task and motion planning (TAMP) algorithms aim to help robots achieve task-level goals, while maintaining motion-level feasibility. This paper focuses on TAMP domains that involve robot behaviors that take extended periods of time (e.g., long-distanc
Externí odkaz:
http://arxiv.org/abs/2202.10667
Publikováno v:
IEEE R-AL, 2022
Task and motion planning (TAMP) algorithms have been developed to help robots plan behaviors in discrete and continuous spaces. Robots face complex real-world scenarios, where it is hardly possible to model all objects or their physical properties fo
Externí odkaz:
http://arxiv.org/abs/2202.06674