首页|Findings from Department of Automatics Advance Knowledge in Robotics (Improving Ergonomics of Collaborative Robot Workcells Using Passive Reconfigurable Fixture s)

Findings from Department of Automatics Advance Knowledge in Robotics (Improving Ergonomics of Collaborative Robot Workcells Using Passive Reconfigurable Fixture s)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on robotics is now availab le. According to news originating from the Department of Automatics by NewsRx co rrespondents, research stated, "In contemporary manufacturing settings, adaptabi lity and human-robot cooperation are crucial to addressing the chAllenges of hig h-mix, low-volume production." Funders for this research include Slovenian Research Agency; European Union Hori zon 2020 Research And Innovation Action Reconcycle; Digitop Project Funded By Mi nistry of Higher Education; Science And Innovation of Slovenia, Slovenian Resear ch And Innovation Agency, And Eu-nextgenerationeu; Slovenian Research Agency Thr ough The Program Group "automation, Robotics And Biocybernetics". Our news editors obtained a quote from the research from Department of Automatic s: "This paper presents a novel methodology to improve workcell ergonomics by op timAlly placing reconfigurable fixtures and other workcell elements. Based on th e personalized upper body models of human workers, we define a comfortable works pace for each arm. Through the development of comprehensive optimization problem s, we compute workcell configurations to align with individual ergonomic needs w ithout compromising production goals. We validate our approach through case stud ies in the automotive sector, including the assembly of light housings and car s tarters. Results from these studies, based on objective and subjective metrics, affirm the potential of reconfigurable workcell elements to improve ergonomic co nditions for workers, thereby contributing to safer and more productive manufact uring environments."

Department of AutomaticsEmerging Techn ologiesMachine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.30)