Robotics & Machine Learning Daily News2024,Issue(Sep.17) :11-11.

Tampere University Researchers Broaden Understanding of Robotics (An Open and Re configurable User Interface to Manage Complex ROS-Based Robotic Systems)

Robotics & Machine Learning Daily News2024,Issue(Sep.17) :11-11.

Tampere University Researchers Broaden Understanding of Robotics (An Open and Re configurable User Interface to Manage Complex ROS-Based Robotic Systems)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news originating from Tampere, Finland, by NewsRx e ditors, the research stated, “The Robot Operating System (ROS) has significantly gained popularity among robotic engineers and researchers over the past five ye ars, primarily due to its powerful infrastructure for node communication, which enables developers to build modular and large robotic applications. However, ROS presents a steep learning curve and lacks the intuitive usability of vendor-spe cific robotic Graphical User Interfaces (GUIs).” Funders for this research include European Union’s Horizon 2020 Research And Inn ovation Program Through The Project Entitled Robotic Technologies For The Manipu lation of Complex Deformable Linear Objects. Our news editors obtained a quote from the research from Tampere University: “Mo reover, its modular and distributed nature complicates the control and monitorin g of extensive systems, even for advanced users. To address these challenges, th is paper introduces a novel, highly adaptable and reconfigurable webbased GUI f or intuitively controlling, monitoring, and configuring complex ROS-based roboti c systems. The GUI leverages ROSBridge and roslibjs to ensure seamless communica tion with ROS systems via topics and services. Special attention has been paid t o enable the easy reconfiguration of the GUI and to minimize the modifications r equired to integrate it with new robotic systems. Thus, it has been designed as a versatile platform, which allows for the selective incorporation of modular fe atures to accommodate diverse robotic systems and applications. A predefined tem plate has been defined to ensure the compatibility of the developed features wit h the GUI platform. Additionally, an initial set of commonly used features in ro botic applications is presented.”

Key words

Tampere University/Tampere/Finland/Eu rope/Emerging Technologies/Machine Learning/Robotics/Robots

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