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ID:20729205
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页数:11页
时间:2018-10-15
《基于立体视觉的水果采摘机器人系统调研报告》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、基于立体视觉的水果采摘机器人系统调研报告摘要:基于立体视觉逑立了水果采摘机器人系统。在图像空叫利用Hough变换检测出果实y标,并利川随机采样B标上均匀分布多个点的三维坐标信息重建果实球模型,进而获得0标质心的空间位a叱标;通过最小二乘法研究了采摘机器人手眼标定;分析了采摘机器人的轨迹规划。实验结果表n几设计的A动采摘系统4以有效地消除遮挡以及立体视觉匹配失效等因素的影响,FI标定位误差小于8mm,显著地提高了抓取的精度和町靠性。关键词:采摘机器人立体视觉手眼标定识别ResearchReportoffruitpickingrobotsystembasedonstereovisionAbst
2、ract:Afruitpickingrobotsystembasedonstereovisionisestablished.IntheimagespacebyusingHoughtransformtodetecttargetfruit,andtherandomsamplingofmultiplepointreconstructionof3Dcoordinateinformationfruitballmodelareuniformlydistributedtarget,andthenobtainthespatialpositioncoordinatesofthetargetcentroid;
3、bytheleastsquaresmethodofpickingrobothandeyecalibration;analysisofthepickingrobottrajectoryplanning.Theexperimentalresultsshowthatthedesignoftheautomaticpickingsystemcaneffectivelyeliminateocclusionandtheinfluenceofthestereovisionmatchingfailureandotherfactors,targetlocationerrorislessthan8mm,sign
4、ificantlyimprovetheaccuracyandreliabilityofthecrawl.Keywords:pickingrobot;stereovision;handeyecalibration;identification基于立体视觉的水果采摘机器人系统调研报告摘要:基于立体视觉逑立了水果采摘机器人系统。在图像空叫利用Hough变换检测出果实y标,并利川随机采样B标上均匀分布多个点的三维坐标信息重建果实球模型,进而获得0标质心的空间位a叱标;通过最小二乘法研究了采摘机器人手眼标定;分析了采摘机器人的轨迹规划。实验结果表n几设计的A动采摘系统4以有效地消除遮挡以及立体视觉匹
5、配失效等因素的影响,FI标定位误差小于8mm,显著地提高了抓取的精度和町靠性。关键词:采摘机器人立体视觉手眼标定识别ResearchReportoffruitpickingrobotsystembasedonstereovisionAbstract:Afruitpickingrobotsystembasedonstereovisionisestablished.IntheimagespacebyusingHoughtransformtodetecttargetfruit,andtherandomsamplingofmultiplepointreconstructionof3Dcoordin
6、ateinformationfruitballmodelareuniformlydistributedtarget,andthenobtainthespatialpositioncoordinatesofthetargetcentroid;bytheleastsquaresmethodofpickingrobothandeyecalibration;analysisofthepickingrobottrajectoryplanning.Theexperimentalresultsshowthatthedesignoftheautomaticpickingsystemcaneffective
7、lyeliminateocclusionandtheinfluenceofthestereovisionmatchingfailureandotherfactors,targetlocationerrorislessthan8mm,significantlyimprovetheaccuracyandreliabilityofthecrawl.Keywords:pickingrobot;stereovision;hande
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