基于Kinect传感器的社会力模型框架下的人类伙伴与机器人引导协调系统

Hari Malik Mu’allimi, Bima Sena Bayu Dewantara, D. Pramadihanto, Bayu Sandi Marta
{"title":"基于Kinect传感器的社会力模型框架下的人类伙伴与机器人引导协调系统","authors":"Hari Malik Mu’allimi, Bima Sena Bayu Dewantara, D. Pramadihanto, Bayu Sandi Marta","doi":"10.1109/IES50839.2020.9231872","DOIUrl":null,"url":null,"abstract":"A robot guide is a robot that is used to guide users from a place of origin to their destination. During carrying out the guiding task, the robot must ensure that the user always follows wherever the direction is headed by the robot until it reaches the destination location. To get this certainty, one of the things that must be considered is the direction the user must walk in the direction of the robot's movement. In this paper, we built a system to monitor user awareness levels to coordinate with robots. We use RGB-D data from the Kinect sensor to detect target partners, their position, and orientation. The level of awareness is calculated using the Social Force Model (SFM) based on the target partner's position and body orientation parameters. This level of awareness will be used by the robot to evaluate the appropriate actions according to the target partner's activities. Based on the results of experiments, the level of awareness of target partners can be calculated and transformed in the form of attractive or repulsive forces towards robots.","PeriodicalId":344685,"journal":{"name":"2020 International Electronics Symposium (IES)","volume":"518 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Human Partner and Robot Guide Coordination System Under Social Force Model Framework Using Kinect Sensor\",\"authors\":\"Hari Malik Mu’allimi, Bima Sena Bayu Dewantara, D. Pramadihanto, Bayu Sandi Marta\",\"doi\":\"10.1109/IES50839.2020.9231872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A robot guide is a robot that is used to guide users from a place of origin to their destination. During carrying out the guiding task, the robot must ensure that the user always follows wherever the direction is headed by the robot until it reaches the destination location. To get this certainty, one of the things that must be considered is the direction the user must walk in the direction of the robot's movement. In this paper, we built a system to monitor user awareness levels to coordinate with robots. We use RGB-D data from the Kinect sensor to detect target partners, their position, and orientation. The level of awareness is calculated using the Social Force Model (SFM) based on the target partner's position and body orientation parameters. This level of awareness will be used by the robot to evaluate the appropriate actions according to the target partner's activities. Based on the results of experiments, the level of awareness of target partners can be calculated and transformed in the form of attractive or repulsive forces towards robots.\",\"PeriodicalId\":344685,\"journal\":{\"name\":\"2020 International Electronics Symposium (IES)\",\"volume\":\"518 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Electronics Symposium (IES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IES50839.2020.9231872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Electronics Symposium (IES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IES50839.2020.9231872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

机器人向导是一种用于引导用户从起点到目的地的机器人。在执行引导任务时,机器人必须确保用户始终跟随机器人所指向的方向,直到到达目的地。为了获得这种确定性,必须考虑的一件事是用户必须在机器人运动的方向上行走。在本文中,我们建立了一个系统来监测用户的意识水平,以协调机器人。我们使用来自Kinect传感器的RGB-D数据来检测目标伙伴及其位置和方向。基于目标伴侣的位置和身体方向参数,使用社会力模型(SFM)计算意识水平。机器人将根据目标伙伴的活动来评估适当的行动。根据实验结果,可以计算目标伙伴的意识水平,并将其转化为对机器人的吸引力或排斥力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human Partner and Robot Guide Coordination System Under Social Force Model Framework Using Kinect Sensor
A robot guide is a robot that is used to guide users from a place of origin to their destination. During carrying out the guiding task, the robot must ensure that the user always follows wherever the direction is headed by the robot until it reaches the destination location. To get this certainty, one of the things that must be considered is the direction the user must walk in the direction of the robot's movement. In this paper, we built a system to monitor user awareness levels to coordinate with robots. We use RGB-D data from the Kinect sensor to detect target partners, their position, and orientation. The level of awareness is calculated using the Social Force Model (SFM) based on the target partner's position and body orientation parameters. This level of awareness will be used by the robot to evaluate the appropriate actions according to the target partner's activities. Based on the results of experiments, the level of awareness of target partners can be calculated and transformed in the form of attractive or repulsive forces towards robots.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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