摘要
由新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-详细的机器学习数据已经呈现。根据NewsRx记者在西班牙巴塞罗那的新闻报道，研究人员指出：“本文提出了一种利用三维虚拟仿真产生的合成数据集训练机器人视觉触觉目标识别模型的方法。在机器人领域，由于图像数据集的丰富，视觉目标识别取得了长足的进展。”不同触觉样本的缺乏导致了融合触觉的机器学习研究的明显空白。这项研究的财政支持来自Ramon Lull大学。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting originating in Barcelona, Spain, by NewsRx journalists, research stated, "This paper proposes an approach for train ing visuo-haptic object recognition models for robots using synthetic datasets g enerated by 3D virtual simulations. In robotics, where visual object recognition has witnessed considerable progress due to an abundance of image datasets, the scarcity of diverse haptic samples has resulted in a noticeable gap in research on machine learning incorporating the haptic sense." Financial support for this research came from Universitat Ramon Llull.
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