Special Issue on Autonomous Robotics Challenge

Pub Date : 2023-12-20 DOI:10.20965/jrm.2023.p1405
A. Ohya, Koichi Ozaki, Tomohito Takubo, Shin’ichi Yuta, Yoshihiro Takita
{"title":"Special Issue on Autonomous Robotics Challenge","authors":"A. Ohya, Koichi Ozaki, Tomohito Takubo, Shin’ichi Yuta, Yoshihiro Takita","doi":"10.20965/jrm.2023.p1405","DOIUrl":null,"url":null,"abstract":"The Tsukuba Challenge and the Nakanoshima Robot Challenge are both technical challenges in which mobile robots run autonomously in real outdoor environments. They have been held almost every year since 2007 and 2018, respectively, and many robots have participated in these public experiments. The autonomous navigation of a mobile robot in the real world, that is, not on test tracks but in environments normally used by everyday people, poses a great many challenges. The robots have to deal with environments that change with the time of day, the weather, the season, etc., and they have to deal with unexpected stationary obstacles as well as moving ones, including people, bicycles, etc. These days, demonstration tests of delivery robots are being conducted in many places, but there are still many problems that need to be solved. In this special issue, we have gathered papers detailing the insights gained from running mobile robots in the two outdoor experiments, the Tsukuba Challenge and the Nakanoshima Robot Challenge. To run a robot with a high success rate in a real environment, it is very important to devise the robot configuration, the sensor data processing, and the behavior control based on the knowledge gained from many experiences. We hope that sharing the successes and failures in the papers in this special issue will lead to further technological improvements in the future.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20965/jrm.2023.p1405","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

The Tsukuba Challenge and the Nakanoshima Robot Challenge are both technical challenges in which mobile robots run autonomously in real outdoor environments. They have been held almost every year since 2007 and 2018, respectively, and many robots have participated in these public experiments. The autonomous navigation of a mobile robot in the real world, that is, not on test tracks but in environments normally used by everyday people, poses a great many challenges. The robots have to deal with environments that change with the time of day, the weather, the season, etc., and they have to deal with unexpected stationary obstacles as well as moving ones, including people, bicycles, etc. These days, demonstration tests of delivery robots are being conducted in many places, but there are still many problems that need to be solved. In this special issue, we have gathered papers detailing the insights gained from running mobile robots in the two outdoor experiments, the Tsukuba Challenge and the Nakanoshima Robot Challenge. To run a robot with a high success rate in a real environment, it is very important to devise the robot configuration, the sensor data processing, and the behavior control based on the knowledge gained from many experiences. We hope that sharing the successes and failures in the papers in this special issue will lead to further technological improvements in the future.
分享
查看原文
自主机器人挑战特刊
筑波挑战赛和中之岛机器人挑战赛都是移动机器人在真实户外环境中自主运行的技术挑战赛。它们分别自 2007 年和 2018 年以来几乎每年举办一次,许多机器人参加了这些公开实验。移动机器人在现实世界中(即不是在测试轨道上,而是在人们通常使用的环境中)的自主导航带来了许多挑战。机器人必须应对随时间、天气、季节等而变化的环境,必须应对意想不到的静止障碍物和移动障碍物,包括人、自行车等。如今,许多地方都在进行送货机器人的演示试验,但仍有许多问题亟待解决。在本特刊中,我们收集了在 "筑波机器人挑战赛 "和 "中之岛机器人挑战赛 "这两项户外实验中运行移动机器人所获得的启示。要想在真实环境中以较高的成功率运行机器人,根据从众多经验中获得的知识设计机器人配置、传感器数据处理和行为控制是非常重要的。我们希望本特刊中的论文所分享的成功与失败经验能为今后的技术改进带来更多的帮助。
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
×
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