A Grasp Planner Based On Inertial Properties

E. López-Damian, D. Sidobre, R. Alami
{"title":"A Grasp Planner Based On Inertial Properties","authors":"E. López-Damian, D. Sidobre, R. Alami","doi":"10.1109/ROBOT.2005.1570208","DOIUrl":null,"url":null,"abstract":"The future personal robot must be capable to work and take decisions in a dynamic human environment. One important capability of such a robot is manipulation. Grasp, as the beginning of any manipulation task is a key point. In this paper we present a grasp planner for manipulating real objects modeled by polyhedra. The algorithm is based on a random generation of grasp oriented by mass and inertial properties of the object. Recent techniques to filter and evaluate the quality of grasp are discussed.","PeriodicalId":350878,"journal":{"name":"Proceedings of the 2005 IEEE International Conference on Robotics and Automation","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"42","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2005 IEEE International Conference on Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOT.2005.1570208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 42

Abstract

The future personal robot must be capable to work and take decisions in a dynamic human environment. One important capability of such a robot is manipulation. Grasp, as the beginning of any manipulation task is a key point. In this paper we present a grasp planner for manipulating real objects modeled by polyhedra. The algorithm is based on a random generation of grasp oriented by mass and inertial properties of the object. Recent techniques to filter and evaluate the quality of grasp are discussed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种基于惯性特性的抓取规划方法
未来的个人机器人必须能够在动态的人类环境中工作并做出决定。这种机器人的一个重要功能是操纵。掌握,作为任何操作任务的开始都是一个关键点。本文提出了一种基于多面体模型的真实物体抓取规划器。该算法基于物体质量和惯性特性导向的抓取随机生成。讨论了近年来对抓取质量的过滤和评价技术。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fault Diagnosis and Fault Tolerant Control for Wheeled Mobile Robots under Unknown Environments: A Survey Clamping Tools of a Capsule for Monitoring the Gastrointestinal Tract Problem Analysis and Preliminary Technological Activity A Fixed– Camera Controller for Visual Guidance of Mobile Robots via Velocity Fields Insect-like Antennal Sensing for Climbing and Tunneling Behavior in a Biologically-inspired Mobile Robot Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1