An Endocrine System Inspired Behavior Selecting Algorithm for Moving Robot System

Fang Li, L. Ren, Yongsheng Ding, K. Hao
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Abstract

The robots that operate in real environment are often limited to many different problems. One of the main problems comes from the fact that outdoor real-world environments are dynamic and full of interventions, and the reactive behaviors may be sometimes conflicting to each other correspondingly. Artificial endocrine system can be the key to solve the problem. This paper proposes an algorithm for the coordination of multiple and possible conflicting behaviors selecting algorithm, devoted to reach the goal while collecting collectable objectives. The proposed endocrine based behavior selecting algorithm is composed of an artificial endocrine system, including two hormones, and three behaviors. The experiments are performed in simulation conditions. The results show that the algorithm proposed is able to coordinate a multiple and conflicting behaviors task, with less time and being more efficient.
基于内分泌系统的移动机器人行为选择算法
在真实环境中工作的机器人常常受到许多不同问题的限制。其中一个主要的问题是,室外现实环境是动态的,充满了干预,反应性行为有时可能会相互冲突。人工内分泌系统是解决这一问题的关键。本文提出了一种协调多个可能冲突行为的选择算法,致力于在收集可收集目标的同时达到目标。提出的基于内分泌的行为选择算法由一个人工内分泌系统组成,该系统包括两种激素和三种行为。实验在模拟条件下进行。结果表明,该算法能够以更少的时间和更高的效率协调多行为冲突任务。
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