首页|Research from University of Coimbra Reveals New Findings on Robotics (Benchmarki ng human-robot collaborative assembly tasks)

Research from University of Coimbra Reveals New Findings on Robotics (Benchmarki ng human-robot collaborative assembly tasks)

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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 reporting out of Coimbra, Portugal, by NewsRx editors, res earch stated, “Manufacturing assembly tasks can vary in complexity and level of automation. Yet, achieving full automation can be challenging and inefficient, p articularly due to the complexity of certain assembly operations.” Funders for this research include Fundacao Para A Ciencia E A Tecnologia. Our news correspondents obtained a quote from the research from University of Co imbra: “Humanrobot collaborative work, leveraging the strengths of human labor alongside the capabilities of robots, can be a solution for enhancing efficiency . This paper introduces the CT benchmark, a benchmark and model set designed to facilitate the testing and evaluation of human-robot collaborative assembly scen arios. It was designed to compare manual and automatic processes using metrics s uch as the assembly time and human workload. The components of the model set can be assembled through the most common assembly tasks, each with varying levels o f difficulty. The CT benchmark was designed with a focus on its applicability in human-robot collaborative environments, with the aim of ensuring the reproducib ility and replicability of experiments. Experiments were carried out to assess a ssembly performance in three different setups (manual, automatic and collaborati ve), measuring metrics related to the assembly time and the workload on human op erators.”

University of CoimbraCoimbraPortugalEuropeEmerging TechnologiesMachine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.7)