基于触觉的假手模糊贝叶斯控制器

Hamed Khandan, Caro Lucasa
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引用次数: 2

摘要

在本文记录的经验中,我们已经证明了我们的新型模糊贝叶斯方法的机器认知能力,称为模糊贝叶斯推理系统,通过使其根据触觉传感器的反馈控制虚拟假手。该手部模型是根据成人普通手的特征设计的,使用Java 3D技术,结合我们自己开发的精确碰撞判断算法和触觉传感器模拟器进行仿真。在这个实验中,这只手可以在几个实验中成功地学会如何选择一个易碎的物体,比如玻璃杯,而不伤害它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tactile based fuzzy-Bayesian controller for prosthetic hand
In the experience documented in this paper, we have demonstrated the ability of our novel fuzzy-Bayesian approach to machine cognition, called fuzzy-Bayesian inference system, by making it control a virtual prosthetic hand according to the feedback from its tactile sensors. The hand model is designed based on the characteristics of an average adult hand and is simulated using Java 3D technology with our own developed precise collision determination algorithm and tactile sensors simulator. In this experience, this hand could successfully learn how to pick a fragile subject like a glass without hurting it, in a few experiments.
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