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个黄蜂可以定期排列构造六角形细胞的梳子。在这项研究中，观察到敌对在筑巢中的运动，并讨论了施工方法。基于天线的运动和梳子结构的过程记录在录像带上进行分析和讨论。天线在筑巢中积极移动，并且在每个嵌套过程中的运动都是有序的。观察结果表明，触角的特征运动可能用于确定如何塑造巢穴，并且嵌套行为与所谓的“出租车”相连。2使用计算机模拟将黄蜂的构造方法压倒。进行了模拟，以确定构造形状与简单移动规则（例如“出租车”）之间的关系。模拟结果表明，简单的移动规则，例如“出租车”，从基地的形状开始，导致直线，弯曲线和六角形的构建。3开发了基于黄蜂的嵌套行为的施工机器人。施工机器人的两个传感器类似于黄蜂的触角。进行了施工实验。使用基本形状作为指导标记，基于传感器的运动和简单的移动规则的构造算法导致构建相似的形状和不同的形状。4我们试图获得一个最佳规则，可以追踪基本的构造形状。机器人的施工规则是通过神经网络代表的。进行计算机模拟以确定可以追踪基本形状的规则。通过遗传算法确定追踪的最佳规则。分析了最佳规则。分析表明，由于遗传操作而获得的规则与“出租车”有关。