Visuo-Motor Dataset

该数据集包含了24,964张由微型农业机器人在完整扫描水平面时生成的图像，这些图像与（x,y）电机位置一一对应。这些图像均为灰度图，尺寸为64x64像素，用于训练卷积自动编码器，训练周期为40轮。该数据集的规模为24,964张图像，其任务旨在研究视觉-运动协调的目标导向探索行为。

This dataset contains 24,964 grayscale images of 64×64 pixels, each in one-to-one correspondence with the (x,y) motor positions of micro agricultural robots that performed full scans over a horizontal plane. These images were used to train convolutional autoencoders for 40 training epochs, and the dataset is intended to investigate goal-directed exploratory behaviors involving visuomotor coordination.