Zobrazeno 1 - 10
of 22 408
pro vyhledávání: '"planning tasks"'
Autor:
Wu, Qiucheng, Zhao, Handong, Saxon, Michael, Bui, Trung, Wang, William Yang, Zhang, Yang, Chang, Shiyu
Vision language models (VLMs) are an exciting emerging class of language models (LMs) that have merged classic LM capabilities with those of image processing systems. However, the ways that these capabilities combine are not always intuitive and warr
Externí odkaz:
http://arxiv.org/abs/2407.01863
Autor:
Hu, Yihan, Chai, Siqi, Yang, Zhening, Qian, Jingyu, Li, Kun, Shao, Wenxin, Zhang, Haichao, Xu, Wei, Liu, Qiang
As autonomous driving systems being deployed to millions of vehicles, there is a pressing need of improving the system's scalability, safety and reducing the engineering cost. A realistic, scalable, and practical simulator of the driving world is hig
Externí odkaz:
http://arxiv.org/abs/2407.02797
There has been considerable divergence of opinion on the reasoning abilities of Large Language Models (LLMs). While the initial optimism that reasoning might emerge automatically with scale has been tempered thanks to a slew of counterexamples--rangi
Externí odkaz:
http://arxiv.org/abs/2402.08115
Autor:
Ye, Tengju, Jing, Wei, Hu, Chunyong, Huang, Shikun, Gao, Lingping, Li, Fangzhen, Wang, Jingke, Guo, Ke, Xiao, Wencong, Mao, Weibo, Zheng, Hang, Li, Kun, Chen, Junbo, Yu, Kaicheng
Building a multi-modality multi-task neural network toward accurate and robust performance is a de-facto standard in perception task of autonomous driving. However, leveraging such data from multiple sensors to jointly optimize the prediction and pla
Externí odkaz:
http://arxiv.org/abs/2308.01006
Multi-Agent Path Finding (MAPF) is the problem of finding collision-free paths for multiple agents from their start locations to end locations. We consider an extension to this problem, Precedence Constrained Multi-Agent Path Finding (PC-MAPF), where
Externí odkaz:
http://arxiv.org/abs/2202.10449
This paper proposes a novel integrated dynamic method based on Behavior Trees for planning and allocating tasks in mixed human robot teams, suitable for manufacturing environments. The Behavior Tree formulation allows encoding a single job as a compo
Externí odkaz:
http://arxiv.org/abs/2105.12031
Autor:
Park, Kyungjin, Mott, Bradford, Lee, Seung, Gupta, Anisha, Jantaraweragul, Katie, Glazewski, Krista, Scribner, J. Adam, Ottenbreit-Leftwich, Anne, Hmelo-Silver, Cindy E., Lester, James
Publikováno v:
In Journal of Computer Languages December 2022 73
Publikováno v:
In Advances in Engineering Software November 2022 173
Providing explanations is considered an imperative ability for an AI agent in a human-robot teaming framework. The right explanation provides the rationale behind an AI agent's decision-making. However, to maintain the human teammate's cognitive dema
Externí odkaz:
http://arxiv.org/abs/2012.11792