连续物体的形状分析和控制 *

Yuqiao Dai, Peng Li, Shilin Zhang, Yunhui Liu
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引用次数: 0

摘要

软体机器人是当今机器人研究的一个热点,因为软体机器人大多以连续体的形式存在,而目前的连续体很难识别形状并再现相应的形状。本文提出了一种方法,通过轮廓中心线提取和双目摄像头重建获得柔性连续体的形状特征,并利用神经网络完成电机输入与连续体形状输出之间关系的建模。建立了仿真环境来测试柔性连续体的形状估计和形状控制。结果表明,这种方法可以很好地预测和再现连续体的形状。这种方法可用于连续体机器人的形状控制。
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Shape Analysis and Control of a Continuum Objects*
Soft robots are a hot spot in today's robotic research, because most of them exist in the form of continuums, and the current continuum is difficult to recognize the shape and reproduce the corresponding shape. In this paper, we propose a method, in which the shape features of the flexible continuum are obtained by contour centerline extraction and binocular camera reconstruction and the modeling of the relationship between the motor input and the shape output of the continuum is completed using neural networks. Simulation environment is set up to test the shape estimation and shape control of the flexible continuum. Results show that this method can prediction and reproduce the shape of the continuum well. This method can be used in shape control of the continuum robot.
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