摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-一项关于机器人的新研究现在开始了。根据NewsRx编辑在葡萄牙科英布拉的新闻报道，Research称，“制造装配任务的复杂性和自动化程度可能各不相同。然而，实现完全自动化可能具有挑战性和效率低下，特别是由于某些装配操作的复杂性。”这项研究的资助者包括科学和技术基金会。我们的新闻记者从Co Imbra大学的研究中获得了一句话：“人-机器人协同工作，利用人类劳动的力量和机器人的能力，可以成为提高效率的解决方案。”本文介绍了CT基准，摘要:设计了一个用于测试和评估人-机器人协同装配场景的基准和模型集。该基准和模型集用于比较手工和自动装配过程,使用装配时间和人工工作量等度量。模型集的组件可以通过最常见的装配任务进行装配。CT基准的设计侧重于其在人-机器人协作环境中的适用性，目的是确保实验的可重复性和可复制性。在三种不同的设置(手动、自动和协作)中进行了实验，以评估与组装时间和人类操作人员工作量有关的指标。
Abstract
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.”
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