Suppr超能文献

认知机器人学中的常识知识:一项系统的文献综述。

Commonsense knowledge in cognitive robotics: a systematic literature review.

作者信息

Töberg Jan-Philipp, Ngonga Ngomo Axel-Cyrille, Beetz Michael, Cimiano Philipp

机构信息

Center for Cognitive Interaction Technology, Bielefeld University, Bielefeld, Germany.

Joint Research Center on Cooperative and Cognition-enabled AI, Bielefeld, Germany.

出版信息

Front Robot AI. 2024 Feb 29;11:1328934. doi: 10.3389/frobt.2024.1328934. eCollection 2024.

Abstract

One of the big challenges in robotics is the generalization necessary for performing unknown tasks in unknown environments on unknown objects. For us humans, this challenge is simplified by the commonsense knowledge we can access. For cognitive robotics, representing and acquiring commonsense knowledge is a relevant problem, so we perform a systematic literature review to investigate the current state of commonsense knowledge exploitation in cognitive robotics. For this review, we combine a keyword search on six search engines with a snowballing search on six related reviews, resulting in 2,048 distinct publications. After applying pre-defined inclusion and exclusion criteria, we analyse the remaining 52 publications. Our focus lies on the use cases and domains for which commonsense knowledge is employed, the commonsense aspects that are considered, the datasets/resources used as sources for commonsense knowledge and the methods for evaluating these approaches. Additionally, we discovered a divide in terminology between research from the knowledge representation and reasoning and the cognitive robotics community. This divide is investigated by looking at the extensive review performed by Zech et al. (The International Journal of Robotics Research, 2019, 38, 518-562), with whom we have no overlapping publications despite the similar goals.

摘要

机器人技术面临的一大挑战是在未知环境中对未知物体执行未知任务时所需的通用性。对于人类而言,我们可以获取的常识性知识简化了这一挑战。对于认知机器人技术来说,表示和获取常识性知识是一个相关问题,因此我们进行了系统的文献综述,以研究认知机器人技术中常识性知识利用的现状。在本次综述中,我们将在六个搜索引擎上进行的关键词搜索与在六篇相关综述上进行的滚雪球式搜索相结合,得到了2048篇不同的出版物。在应用预定义的纳入和排除标准后,我们对其余52篇出版物进行了分析。我们关注的是使用常识性知识的用例和领域、所考虑的常识性方面、用作常识性知识来源的数据集/资源以及评估这些方法的方式。此外,我们发现知识表示与推理领域的研究和认知机器人技术社区之间在术语上存在分歧。通过查看Zech等人(《国际机器人研究杂志》,2019年,38卷,518 - 562页)进行的广泛综述来研究这种分歧,尽管目标相似,但我们与他们没有重叠的出版物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c63c/10941339/fb60daade6ed/frobt-11-1328934-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验