Accelerating Integral Histograms Using an Adaptive Approach
Accelerating Integral Histograms Using an Adaptive Approach
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DOI：
10.1007/978-3-540-69905-7_24
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发表时间：
2008-07
期刊：
影响因子：
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通讯作者：
T. Müller;Claus Lenz;S. Barner;A. Knoll
中科院分区：
文献类型：
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作者：
T. Müller;Claus Lenz;S. Barner;A. Knoll
关于人类教育，脚手架这一术语最早是在20世纪70年代创造的，尽管这个基本概念起源于20世纪30年代。其主要思想是以某种方式将教师的高级知识形式化，以产生对受训者的支持。在实践中，这一概念可以像完形填空一样具体，帮助学生学习外语，也可以像社会环境一样抽象，有助于学习特定的任务。本文介绍了一种通过这种支架框架进行机器人学习的新方法。在这种情况下，脚手架是由抽象模式构成的，这有助于在“在演示中学习”期间对信息进行结构化和分割。该方法被应用于机器人辅助手术的真实场景。
The term scaffolding, with respect to human education, was first coined in the 1970ies, although the basic concept originates back to the 1930ies. The main idea is to formalize the superior knowledge of a teacher in a certain way to generate support for a trainee. In practice, this concept can be implemented as concrete as a cloze, which assists pupils in learning a foreign language, or it might be as abstract as a social environment, which facilitates learning of specific tasks. This paper introduces a novel approach towards robotic learning by means of such a scaffolding framework. In this case, the scaffolding is constituted by abstract patterns, which facilitate the structuring and segmentation of information during “Learning by Demonstration”. The methodology was applied to a real-world scenario of robot-assisted surgery.