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A study on autonomous robot with empirical measure

机译:基于经验测度的自主机器人研究

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摘要

This paper proposes a new design concept to develop an autonomous robot to have its own empirical measure of the environment. Empirical measure is expected to make the robot into an autonomous and intelligent one without coming across the Frame problems. This paper considers "Invariant" in Affordance theory as an empirical measure. A perception mechanism that would be indispensable to the realization of an empirical measure, is proposed. The mechanism introduces sonar sensing system, perceptual model, information processing system, and learning mechanisms using several ANNs. Computational resutls show that proposed mehcanism has possibilities to satisfy the four conditions.
机译:本文提出了一种新的设计概念,以开发具有自己的环境经验度量的自主机器人。预期将通过经验方法使机器人成为一个自主和智能的机器人,而不会遇到框架问题。本文将Affordance理论中的“不变式”视为一种经验指标。提出了一种感知机制,这对于实现经验测度是必不可少的。该机制介绍了声纳感测系统,感知模型,信息处理系统以及使用多个ANN的学习机制。计算结果表明,拟议的机制可以满足四个条件。

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