Elisa Foderaro, A. Cesta, A. Umbrico, Andrea Orlandini
{"title":"Simplifying the A.I. Planning modeling for Human-Robot Collaboration","authors":"Elisa Foderaro, A. Cesta, A. Umbrico, Andrea Orlandini","doi":"10.1109/RO-MAN50785.2021.9515431","DOIUrl":null,"url":null,"abstract":"For an effective deployment in manufacturing, Collaborative Robots should be capable of adapting their behavior to the state of the environment and to keep the user safe and engaged during the interaction. Artificial Intelligence (AI) enables robots to autonomously operate understanding the environment, planning their tasks and acting to achieve some given goals. However, the effective deployment of AI technologies in real industrial environments is not straightforward. There is a need for engineering tools facilitating communication and interaction between AI engineers and Domain experts. This paper proposes a novel software tool, called TENANT (Tool fostEriNg Ai plaNning in roboTics) whose aim is to facilitate the use of AI planning technologies by providing domain experts like e.g., production engineers, with a graphical software framework to synthesize AI planning models abstracting from syntactic features of the underlying planning formalism.","PeriodicalId":6854,"journal":{"name":"2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)","volume":"17 1","pages":"1011-1016"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RO-MAN50785.2021.9515431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
For an effective deployment in manufacturing, Collaborative Robots should be capable of adapting their behavior to the state of the environment and to keep the user safe and engaged during the interaction. Artificial Intelligence (AI) enables robots to autonomously operate understanding the environment, planning their tasks and acting to achieve some given goals. However, the effective deployment of AI technologies in real industrial environments is not straightforward. There is a need for engineering tools facilitating communication and interaction between AI engineers and Domain experts. This paper proposes a novel software tool, called TENANT (Tool fostEriNg Ai plaNning in roboTics) whose aim is to facilitate the use of AI planning technologies by providing domain experts like e.g., production engineers, with a graphical software framework to synthesize AI planning models abstracting from syntactic features of the underlying planning formalism.
为了在制造业中有效部署,协作机器人应该能够根据环境状态调整其行为,并在交互过程中保持用户的安全和参与。人工智能(AI)使机器人能够自主操作,理解环境,规划任务并采取行动实现某些既定目标。然而,人工智能技术在实际工业环境中的有效部署并不简单。需要一些工程工具来促进人工智能工程师和领域专家之间的沟通和互动。本文提出了一种新的软件工具,称为TENANT (tool advancing Ai plaNning in roboTics),其目的是通过为生产工程师等领域专家提供图形化软件框架来综合从底层规划形式化的语法特征中抽象出来的Ai规划模型,从而促进Ai规划技术的使用。