Robotics & Machine Learning Daily News2024,Issue(Jun.6) :12-13.

University of Patras Researchers Discuss Research in Robotics (A Voice-Enabled R OS2 Framework for Human-Robot Collaborative Inspection)

帕特拉斯大学的研究人员讨论机器人学的研究(一种用于人-机器人协作检查的语音支持的R OS2框架)

Robotics & Machine Learning Daily News2024,Issue(Jun.6) :12-13.

University of Patras Researchers Discuss Research in Robotics (A Voice-Enabled R OS2 Framework for Human-Robot Collaborative Inspection)

帕特拉斯大学的研究人员讨论机器人学的研究(一种用于人-机器人协作检查的语音支持的R OS2框架)

扫码查看

摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx Componsiderde NTS来自希腊帕特拉斯的消息,研究表明:“质量检查在当前的制造实践中起着至关重要的作用,因为对可靠和定制产品的需求在大多数行业的议事日程中占据了重要位置。”这项研究的资助者包括欧盟委员会。新闻记者从帕特拉斯大学的研究中获得了一句话:“在这个范围内,加强人-机器人协作的解决方案,例如基于视频的交互,是现代工业努力迎接最新数字化趋势的前沿。目前的检查活动往往是基于操作员的手工专长,本文提出了一个语音支持的ROS2框架,以增强机器人和操作人员在质量检测活动中的协作能力,采用了一个健壮的ROS2-based体系结构来支持过程执行流程的协调,并将语音识别应用和质量检测解决方案部署到整个系统中。通过一个来自自动化行业的案例研究,展示了其有效性。讨论了这种支持语音的ROS2框架的好处,并提出了作为人-机器人协作环境下零件检测的替代方法。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news originating from Patras, Greece, by NewsRx corresponde nts, research stated, “Quality inspection plays a vital role in current manufact uring practice since the need for reliable and customized products is high on th e agenda of most industries.” Funders for this research include European Commission. The news correspondents obtained a quote from the research from University of Pa tras: “Under this scope, solutions enhancing human-robot collaboration such as v oice-based interaction are at the forefront of efforts by modern industries towa rds embracing the latest digitalization trends. Current inspection activities ar e often based on the manual expertise of operators, which has been proven to be timeconsuming. This paper presents a voice-enabled ROS2 framework towards enhan cing the collaboration of robots and operators under quality inspection activiti es. A robust ROS2-based architecture is adopted towards supporting the orchestra tion of the process execution flow. Furthermore, a speech recognition applicatio n and a quality inspection solution are deployed and integrated to the overall s ystem, showcasing its effectiveness under a case study deriving from the automot ive industry. The benefits of this voiceenabled ROS2 framework are discussed an d proposed as an alternative way of inspecting parts under human-robot collabora tive environments.”

Key words

University of Patras/Patras/Greece/Eu rope/Emerging Technologies/Machine Learning/Robot/Robotics

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文