协作机械手的有效路径规划

M. Fischer
{"title":"协作机械手的有效路径规划","authors":"M. Fischer","doi":"10.1109/IROS.1994.407360","DOIUrl":null,"url":null,"abstract":"This paper describes a new approach to planning collision-free paths for cooperating robots with dependent tool center points (TCPs) in realistic environments. A formal description and a classification of these task are presented. Then, a path planner for online planning in 3D realistic scenes is described. On the one hand, online planning demands results in very short time intervals, on the other hand, the planners have to cope with complex 3D environments. Following these requirements, the planners presented here avoid the complexity of a complete search and use heuristics instead. These heuristics and strategies for different task classes are presented.<<ETX>>","PeriodicalId":437805,"journal":{"name":"Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Efficient path planning for cooperating manipulators\",\"authors\":\"M. Fischer\",\"doi\":\"10.1109/IROS.1994.407360\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a new approach to planning collision-free paths for cooperating robots with dependent tool center points (TCPs) in realistic environments. A formal description and a classification of these task are presented. Then, a path planner for online planning in 3D realistic scenes is described. On the one hand, online planning demands results in very short time intervals, on the other hand, the planners have to cope with complex 3D environments. Following these requirements, the planners presented here avoid the complexity of a complete search and use heuristics instead. These heuristics and strategies for different task classes are presented.<<ETX>>\",\"PeriodicalId\":437805,\"journal\":{\"name\":\"Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IROS.1994.407360\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1994.407360","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文提出了一种新的方法来规划具有依赖刀具中心点的协作机器人在现实环境中的无碰撞路径。对这些任务进行了形式化的描述和分类。然后,介绍了一种用于三维逼真场景在线规划的路径规划器。一方面,在线规划要求在很短的时间间隔内完成,另一方面,规划人员必须应对复杂的3D环境。遵循这些要求,这里介绍的规划器避免了完整搜索的复杂性,而是使用启发式方法。针对不同的任务类别,给出了这些启发式方法和策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient path planning for cooperating manipulators
This paper describes a new approach to planning collision-free paths for cooperating robots with dependent tool center points (TCPs) in realistic environments. A formal description and a classification of these task are presented. Then, a path planner for online planning in 3D realistic scenes is described. On the one hand, online planning demands results in very short time intervals, on the other hand, the planners have to cope with complex 3D environments. Following these requirements, the planners presented here avoid the complexity of a complete search and use heuristics instead. These heuristics and strategies for different task classes are presented.<>
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