VALIDATION OF A SIMULATED ENVIRONMENT DEVELOPED FOR VALIDATING CFS AUTONOM

Ruel L. A. Ellis, Gerardo Fernández-López, Gerard A. J. Pounder
{"title":"VALIDATION OF A SIMULATED ENVIRONMENT DEVELOPED FOR VALIDATING CFS AUTONOM","authors":"Ruel L. A. Ellis, Gerardo Fernández-López, Gerard A. J. Pounder","doi":"10.47412/ebsy1245","DOIUrl":null,"url":null,"abstract":"This paper analyses results from experiments performed using a previously-described, simulated environment that was developed for validation of Cognitive Function Synthesis, or CFS, Autonomy. Navigation performance of the Pioneer robot platform used the following metrics: Average Cycle Time per simulation run; Average Wall Contact per cycle; and Average Shock Treatment Activation per simulation run. Two ultrasound, or US, configurations were used while the robot navigated in either the ‘preconfigured-reflexes only’ mode or the ‘Braitenberg Obstacle Avoidance’ mode. Results from the “16 sensor” US configuration was generally found to be significantly different from that of the “8 sensor” configuration, independently of obstacle avoidance considerations. Robot performance, when subject to the Braitenberg Obstacle Avoidance algorithm, was also found to be significantly different from ‘preconfigured-reflexes only’ performance, regardless of US configuration. The difference in Shock Treatment and the Average Wall Contact, observed between the “16 sensor” US setting and the “8 sensor” configuration for the ‘Braitenberg Obstacle Avoidance’, are likely to be due to the coefficient values adopted for the rear US sensors together with robot position at experiment start. The use of this environment to enable statistical analysis of results, to determine significant difference in obstacle avoidance performance, validates its usefulness as a tool for CFS Autonomy validation.","PeriodicalId":206492,"journal":{"name":"Proceedings of the International Conference on Emerging Trends in Engineering & Technology (IConETech-2020)","volume":"07 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Emerging Trends in Engineering & Technology (IConETech-2020)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47412/ebsy1245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper analyses results from experiments performed using a previously-described, simulated environment that was developed for validation of Cognitive Function Synthesis, or CFS, Autonomy. Navigation performance of the Pioneer robot platform used the following metrics: Average Cycle Time per simulation run; Average Wall Contact per cycle; and Average Shock Treatment Activation per simulation run. Two ultrasound, or US, configurations were used while the robot navigated in either the ‘preconfigured-reflexes only’ mode or the ‘Braitenberg Obstacle Avoidance’ mode. Results from the “16 sensor” US configuration was generally found to be significantly different from that of the “8 sensor” configuration, independently of obstacle avoidance considerations. Robot performance, when subject to the Braitenberg Obstacle Avoidance algorithm, was also found to be significantly different from ‘preconfigured-reflexes only’ performance, regardless of US configuration. The difference in Shock Treatment and the Average Wall Contact, observed between the “16 sensor” US setting and the “8 sensor” configuration for the ‘Braitenberg Obstacle Avoidance’, are likely to be due to the coefficient values adopted for the rear US sensors together with robot position at experiment start. The use of this environment to enable statistical analysis of results, to determine significant difference in obstacle avoidance performance, validates its usefulness as a tool for CFS Autonomy validation.
为验证CFS自主性而开发的模拟环境的验证
本文分析了使用先前描述的模拟环境进行的实验结果,该环境是为验证认知功能合成(CFS)自主性而开发的。先锋机器人平台的导航性能使用以下指标:每次模拟运行的平均周期时间;每周期平均壁面接触;和每次模拟运行的平均冲击处理激活。当机器人在“仅预配置反射”模式或“布里滕贝格避障”模式下导航时,使用了两种超声波或US配置。“16个传感器”美国配置的结果通常与“8个传感器”配置的结果有显著差异,这与避障因素无关。研究还发现,不管美国的配置如何,当机器人采用布里滕贝格避障算法时,其表现与“仅预配置反射”的表现有显著不同。在“16传感器”US设置和“8传感器”配置的“Braitenberg Obstacle Avoidance”中观察到的冲击处理和平均墙壁接触的差异,可能是由于后置US传感器所采用的系数值以及实验开始时机器人的位置。使用该环境对结果进行统计分析,以确定避障性能的显着差异,验证其作为CFS自治验证工具的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信