草图识别库应用于仿人机器人在模拟环境中的图像复制

2020 3rd International Conference on Mechatronics, Robotics and Automation (ICMRA) Pub Date : 2020-10-16 DOI:10.1109/ICMRA51221.2020.9398348

Steven Pacheco-Portuguez, M. Naya-Varela, Francisco Bellas-Bouza, Esteban Arias-Méndez

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引用次数: 0

摘要

速写一直是人类用来描绘他们的想法和思想的最古老的技术之一。复制这种能力将帮助我们更好地理解人类获得这种能力的方式。在这项工作中，我们实现了一个使用卷积神经网络的架构，该网络能够将图像转换为笔画序列，并由Poppy人形机器人使用逆运动学来复制草图。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Sketch Recognition Library Applied for an Image Replication with a Humanoid Robot in a Simulated Environment

Sketches have been one of the most ancient techniques used by humans to portray their ideas and thoughts. Replicating this ability would help us to better understand the way in which human beings obtain their capabilities. In this work, we implemented an architecture using convolutional neural networks capable of transforming an image to a sequence of strokes to be replicated by a Poppy humanoid robot using inverse kinematic to reproduce the sketches.

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2020 3rd International Conference on Mechatronics, Robotics and Automation (ICMRA)

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