Development of Active Antennase based on The Nesting Behavior of Wasps

基于黄蜂筑巢行为的活性天线酶的开发

基本信息

批准号：
06808094
负责人：
FUKUI Yasuhiro
金额：
$ 1.22万
依托单位：
Tokyo Denki University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1994
资助国家：
日本
起止时间：
1994 至 1995
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-06808094/
关键词：
Construction method Paper wasp Nesting behavior Antenna Taxis Neural networks Genetic algorithms

项目摘要

1 wasps can construct combs of hexagonal cells with a regular arrangement. In this study, the movements of antennae in nesting were observed and construction methods were discussed. Nesting behavior based on the movements of antennae and the process of comb construction were recorded on video tape for analysis and discussion. Antennae are moved actively in nesting and the movements are orderly and characteristic in each process of nesting. Observation results show that characteristic movements of antennae are probably used in determining how to shape the nest and that nesting behavior is connected with so called "taxis."2 Construction methods of wasps were disussed using computer simulation. Simulation was conducted to ascertain relationships between constructed shapes and simple moving rules such as "taxis." The simulation results show that simple moving rules such as "taxis" lead to the construction of straight lines, curved lines and hexagons, starting from the shapes of the base as a guide.3 A construction robot based on the nesting behavior of wasps was developed. The construction robot has two sensors similar to the antennae of wasps. Construction experiments were conducted. Using base shapes as a guide mark, construction algorithms based on the movements of sensors and simple moving rules lead to the construction of similar shapes and different shapes.4 We attempted to obtain an optimal rule that can trace basic shapes for construction. Construction rules of the robot were represented by means of neural networks. Computer simulation was conducted to ascertain a rule that can trace basic shapes. An optimal rule for tracing was determined by genetic algorithms. The optimal rule was analyzed. Analysis shows that the rule that was obtatined as the result of genetic operations is connected with "taxis."

1 黄蜂可以构造规则排列的六角形细胞的蜂巢。本研究观察了筑巢过程中触角的运动并讨论了筑巢方法。基于触角运动的筑巢行为和梳子构建过程被记录在录像带上以供分析和讨论。筑巢过程中触角活动活跃，每个筑巢过程的动作有序且有特色。观察结果表明，触角的特征运动可能被用来决定如何塑造巢穴，并且筑巢行为与所谓的“出租车”有关。2 利用计算机模拟讨论了黄蜂的建造方法。进行模拟是为了确定构造的形状和简单的移动规则（例如“出租车”）之间的关系。仿真结果表明，以底座形状为指导，通过“出租车”等简单的移动规则，可以构建出直线、曲线和六边形。 3 开发了一种基于黄蜂筑巢行为的建筑机器人。建筑机器人有两个类似于黄蜂触角的传感器。进行了施工实验。使用基本形状作为引导标记，基于传感器运动和简单移动规则的构造算法导致相似形状和不同形状的构造。4我们试图获得可以跟踪基本形状进行构造的最佳规则。机器人的构造规则通过神经网络来表示。进行计算机模拟以确定可以追踪基本形状的规则。追踪的最佳规则是通过遗传算法确定的。分析了最优规则。分析表明，通过基因运算得到的规则与“出租车”有关。