首页|New Robotics Research from National Institute of Advanced Industrial Science and Technology (NIAIST) Described (A Path to Industry 5.0 Digital Twins for Human-R obot Collaboration by Bridging NEP+ and ROS)

New Robotics Research from National Institute of Advanced Industrial Science and Technology (NIAIST) Described (A Path to Industry 5.0 Digital Twins for Human-R obot Collaboration by Bridging NEP+ and ROS)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in robotic s. According to news reporting from Tokyo, Japan, by NewsRx journalists, researc h stated, "The integration of heterogeneous hardware and software components to construct human-centered systems for Industry 5.0, particularly human digital tw ins, presents considerable complexity." Our news reporters obtained a quote from the research from National Institute of Advanced Industrial Science and Technology (NIAIST): "Our research addresses th is challenge by pioneering a novel approach that harmonizes the techno-centered focus of the Robot Operating System (ROS) with the cross-platform advantages inh erent in NEP+ (a human-centered development framework intended to assist users a nd developers with diverse backgrounds and resources in constructing interactive human-machine systems). We introduce the nep2ros ROS package, aiming to bridge these frameworks and foster a more interconnected and adaptable approach. This i nitiative can be used to facilitate diverse development scenarios beyond convent ional robotics, underpinning a transformative shift in Industry 5.0 applications . Our assessment of NEP+ capabilities includes an evaluation of communication pe rformance utilizing serialization formats like JavaScript Object Notation (JSON) and MessagePack. Additionally, we present a comparative analysis between the ne p2ros package and existing solutions, illustrating its efficacy in linking the s imulation environment (Unity) and ROS. Moreover, our research demonstrates NEP+' s applicability through an immersive human-in-the-loop collaborative assembly."

National Institute of Advanced Industria l Science and Technology (NIAIST)TokyoJapanAsiaEmerging TechnologiesMa chine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.7)