首页|Studies in the Area of Robotics Reported from Singapore University of Technology and Design (Enhancing Robot Inclusivity in the Built Environment: A Digital Twi n-Assisted Assessment of Design Guideline Compliance)
Studies in the Area of Robotics Reported from Singapore University of Technology and Design (Enhancing Robot Inclusivity in the Built Environment: A Digital Twi n-Assisted Assessment of Design Guideline Compliance)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on robotics have been pr esented. According to news originating from Singapore, Singapore, by NewsRx edit ors, the research stated, “Developing guidelines for designing robotinclusive s paces has been challenging and resource-intensive, primarily relying on physical experiments and observations of robot interactions within the built environment .” Financial supporters for this research include National Robotics Programme (Nrp) Bau; A*star. The news correspondents obtained a quote from the research from Singapore Univer sity of Technology and Design: “These conventional methods are often costly, tim e-consuming, and labour-intensive, demanding manual intervention. To address the se limitations, this study explores the potential of using digital twins as a pr omising solution to offer detailed insights, reducing the dependence on physical experiments for studying robot-built environment interactions. Although the con cept of digital twins is popular in many domains, the use of digital twins for t his specific problem has not been explored yet. A novel methodology for assessin g existing built environment guidelines by incorporating them as an architectura l digital twin asset within robot simulation software is proposed in this regard . By analysing the digital interactions between robots and the architectural dig ital twin assets in simulations, the compatibility of the environment with robot s is evaluated, ultimately contributing to enhancing these guidelines to be robo t-inclusive. The ultimate goal is to create environments that are not only inclu sive but also readily accessible to Autonomous Mobile Robots (AMRs).”
Singapore University of Technology and D esign, Singapore, Singapore, Asia, Emerging Technologies, Machine Learning, Nano -robot, Robot, Robotics
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