大型···件多···移动···自律···协同··

项目来源

国家···学基···SF··

项目主持人

陶波

项目受资助机构

华中···学

立项年度

2017

立项时间

未公开

项目编号

91···20·

项目级别

国家·

研究期限

未知 / 未知

受资助金额

285.00万元

学科

工程···科学-机械···制造-制造···智能·

学科代码

E-E05-E0510

基金类别

重大···划-重点···目-共融···基础···关键···究

关键词

大型···测量···控制···人加···业机··· ; La··· C···on··· ; I···st···l ···ot···bo··· M···in··· ; C···er···ve···nt··· ; M···ur···nt·

参与者

陶文···伟东···勇;···;董···何文···泽宇···;褚···

参与机构

浙江···

项目标书摘要:本项···超大···构件···自适···难题···动机···术、···造技···工智···相结···建移···人自···工新···新装···目围···末端···、双···协同···高效···确测···展研···体内···:(···动加···力—···环末···器设···制;···复杂···多机···同运···与控···3)···复杂···部原···测量···高效···(4···人移···系统···建与···证。···建立···杂构···器人···工的···踪与···制理···过研···位混···的主···末端···,实···人装···件的···应,···双机···同控···效原···技术···弱刚···型复···高效···加工···成果···我国···杂结···自动···能化···平,···国机···智能···备技···具有···义。

Application Abstract: Th···pr···ct··· i···ir···by···e ···ll···e ···th···ff···en···nd···ap···e ···hi···g ··· l···e-···le···mp···nt···y ···eg···in···ob··· r···ti···di···al···nu···tu···g ···hn···gy···d ···if···al···te···ge··· t···no···y,···s ···je···ai···at···ns···ct··· n···pr···ip···an···ew···ui···nt···r ···pt··· m···in··· t···ug···ob··· m···pu···or···he···oj··· f···se···n ··· r···ar···of···mp···nt···tu···r,···l-···ot···op···ti···co···ol···d ···ic···t ···si···ac···at···ea···em···,i···ud···:(···es··· a···co···ol··· e···ef···to···it···or···po···io···ou··· c···ed···op··· m···le···ch···ng···st···(2···lt···ob···co···ra···e ···io···la···ng···d ···tr···un··· c···le···on···ai···;(···oc···in···tu···ec··· m···ur···nt···d ···ic···t ···ba···ec···tr···io···f ···ge···al···om···x ···po···ts···)R···an···xp···me···l ···if···ti···of···e ···ot···bi···ma···ni···sy···m ···to···e.···th···as···of···es···es···ch··· a···no··· t···ki···an···oo···at··· c···ro···he··· f···mu···-r···t ···il···ac···in···or···rg···ca···co···ex···mp···nt···s ···ec··· t···e ···ab···he···he···ti···co···ia··· o···he···bo···qu···en···o ··· p···s ···l ···re···ze···y ··· f···e-···it··· h···id···nt··· o···he···ti···co···ia···ac···to···hr···h ··· d··· r···t ···rd···ti···co···ol···d ···ic···t ···si···me···re···t ···hn···gy··· i···xp···ed··· r···iz···ff···en···da···ve···ch···ng··· t···la··· c···le···om···en···it···ow···gi···y ···uc···e.··· o···om···f ···s ···je···wi···si···fi···tl···ro···e ··· n···on···le··· i···ut···ti···an···nt···ig··· m···fa···ri···of···rg···ca···co···ex···mp···nt···nd···ll···ci···at···he···ch···og···ev···pm··· o···ob···ze···nt···ig··· m···fa···ri···eq···me···

项目受资助省

湖北·

  • 排序方式:
  • 2
  • /
  • 1.面向···空构···的异···机器···系统···实现

    • 关键词:
    • 垫片加工;机器人打磨;点云处理;模型重构;工艺分析;轨迹规划
    • 王乾·
    • 指导老师:华中···学 尹周·
    • 学位论文

    在大···机翼···过程···基准···常会···工误···装配···的变···现间···致完···后的···度下···是在···役过···生振···重时···影响···的运···。为···配间···构整···响,···装配···中,···据间···状,···工垫···隙区···填充···装配···空间···很强···性,···垫片···连续···变厚···装配···工目···是由···员在···场根···试凑···削完···何通···测量···模获···三维···结合···智能···术,···形非···度垫···化加···有十···的工···价值···通过···件模···,获···间隙···所需···片模···,实···垫片···量计···推导···工去···,规···人定···工工···与加···规划···研究···括:···配垫···分布···厚度···值小···,论···机器···加工···片加···,对···度铝···料进···处理···re···n方···础,···机器···加工···除模···现了···工过···磨削···有效···分析···中各···数对···工材···模型···,选···器人···程中···速度···制变···垫片···程中···片厚···际装···中,···隙全···确测···较为···目前···行之···方法···通过···装配···云包···的装···模型···形状···数算···装配···型中···分布···对装···进行···得到···成间···置以···的垫···。在···上,···于近···化思···云几···算法···片点···加工···间拆···干区···结合···CA···对各···域的···行识···到垫···表面···工余···。针···人在···均匀···片自···中的···划和···划,···用基···盒的···法作···规划···通过···片加···分布···横截···,得···人加···线和···加工···化曲···合磨···材料···型计···沿轨···工时···人进···变化···使用···法对···度曲···离散···离散···至机···工轨···得到···迹点···的机···工进···。开···向装···定制···机器···磨削···划软···用E···t机···FE···OL···构实···化加···搭建···飞机···机身···配垫···实验···行加···。测···表明···机器···方式···机翼···片在···度和···量等···优于···工加···证了···配垫···器人···统的···和实···

    ...
  • 2.基于···觉的···械臂···范围···位技···

    • 关键词:
    • 立体视觉;空间定位;移动加工;位姿估计
    • 虞苏·
    • 指导老师:华中···学 陶波
    • 学位论文

    移动···兼具···业能···作空···的优···以风···、高···、飞···为代···型复···的高···工提···的解···。移···臂末···器的···姿高···取是···工质···键,···臂末···度、···的测···有较···性。···大范···定位···,单···测量···受工···,而···累计···而多···测量···存在···琐、···昂的···均不···移动···定位···本文···立体···基础···了一···线遮···积误···成本···械臂···空间···案,···案的···位算···标布···进行···探讨···包括···容:···一种···目立···的移···臂空···围定···。该···实施···靶标···标定···在线···两步···采用···的参···将测···覆盖···目相···动机···台集···目相···拍摄···末端···靶标···对定···式获···臂末···对空···。讨···类空···算法···位置···ML···法和···机位···估计···算法···于后···同名···算法···棒优···算法···了鲁···环节···测量···误差···离群···真结···,改···算法···应对···大误···据,···有明···,定···接近···状态···法的···分析···点迭···的误···模型···采用···度因···OP···念来···量误···计误···的放···。根···OP···因素···优化···相对···确定···布局···布局···的。···进一···了靶···布局···确定···间距···cm···合本···最优···距。···移动···验平···行了···械臂···位实···型构···扫描···实验···明,···出的···体视···动机···范围···位系···在光···和累···的问···机械···直接···位置···精度···±0···mm···.0···机械···扫描···扫描···姿定···为±···5m···0.···

    ...
  • 3.基于···经网···器人···姿检···研究

    • 关键词:
    • 机器人抓取;卷积神经网络;抓取位姿检测;仿真抓取数据集
    • 柏海·
    • 指导老师:华中···学 陶波
    • 学位论文

    抓取···人技···实生···为常···现手···是机···作中···战性···之一···于解···双手···工业···具有···义。···器人···作多···化环···行,···先获···取物···模型···规划···抓取···适用···对固···体形···色、···特征···缺乏···和鲁···为实···人在···化环···任意···精确···首先···决的···取位···问题···以R···D相···础,···究了···积神···的抓···检测···分别···已知···未知···抓取···效鲁···,并···抓取···证,···究内···:研···于深···的机···取位···方法···二维···测代···空间···姿检···多接···示法···旋转···表示···合,···点式···姿表···以表···人三···位姿···符合···行夹···行捏···取操···。结···数据···抓取···将二···参数···映射···抓取···提出···针对···体的···抓取···测算···目标···抓取···测相···利用···数据···网络···对物···变化···高的···。基···D_···il···et···型进···检测···阈值···技术···从背···离出···用主···析法···对多···进行···姿确···传统···比,···减少···取数···间的···到了···的抓···率,···为优···出了···对未···的端···取位···算法···仿真···建抓···集并···卷积···型,···出深···各位···应的···置、···质量···大减···集搜···的同···了抓···精度···抓取···测函···抓取···优劣···法在···上的···达到···99···原始···NN···率。···未知···抓取···测平···为0···s,···网络···31···。抓···Q值···且较···均在···9以···比之···不稳···体偏···较大···搭建···人抓···平台···对不···的未···进行···验以···取位···算法···。实···表明···抓取···测算···取位···准确···器人···功率···较高···抓取···巧且···

    ...
  • 4.基于···经网···器人···姿自···算法··

    • 关键词:
    • 机器人抓取;深度学习;卷积神经网络;抓取位姿检测;滑动窗方法
    • 周彪
    • 指导老师:华中···学 尹周·
    • 学位论文

    机器···是应···广泛···人作···,也···人操···具挑···技术···当前···机器···系统···对结···作环···依赖···取的···象模···抓取···抓取···状、···大小···等特···且应···相对···缺乏···与鲁···为适···构化···未知···取的···求,···要攻···目标···姿的···测问···文针···目标···自主···姿检···研究···了基···神经···机器···位姿···测算···进行···验证···内容···研究···RG···图像···人抓···表示···将机···维空···位姿···题转···维图···问题···二维···的有···框表···表示···三维···取位···提出···定抓···为物···法线···方式···RG···图像···将该···形框···一映···器人···间抓···参数···了一···滑动···的抓···检测···抓取···测准···同类···有所···基于···经网···设计···抓取···取置···别模···用滑···法生···选抓···进行···置信···并排···到最···位姿···法在···抓取···上达···1.···抓取···确率···了一···深度···络的···姿检···,在···取位···成功···时,···提升···位姿···度。···于深···网络···神经···型端···学习···-D···据和···取位···关系···数据···迁移···术加···过程···数据···问题···法在···数据···抓取···确率···90···,检···相比···类算···5秒···高到···37···。搭···于K···ct···机和···机器···取位···算法···验平···别面···目标···未知···体进···取验···。实···表明···姿检···的抓···检测···和抓···率均···较优···机器···抓取···巧且···

    ...
  • 5.基于···征的···D标···方法···

    • 关键词:
    • 智能仓储;RFID通道门;相位;深度神经网络;互相关系数
    • 黄飞·
    • 指导老师:华中···学 陶波
    • 学位论文

    智能···术是···化智···的未···的重···部分···器人···制造···,智···技术···仓储···作效···低投···,是···要的···RF···Ra··· F···ue··· I···ti···at···)传···物联···心组···,具···ID···非视···、不···影响···较低···优势···来,···FI···器的···势,···入库···物流···智能···理等···景下···来越···应用···出巨···力。···FI···门的···盘点···签假···别是···遍问···对现···FI···门场···入库···术中···假阳···问题···位论···了基···ID···标签···法,···其工···基于···究在···环境···工业···RF···道门···主要···作包···究了···D相···预处···。根···ID···集的···研究···ID···号的···方法···相位···法、···缠方···分析···仓储···RF···号特···绍了···成孔···的R···定位···想,···的标···方法···论基···出了···度神···的标···方法···了深···网络···通过···集R···相位···并进···理和···别的···将处···的数···到神···模型···行离···,得···网络···;然···RF···签在···,区···标签···标签···实验···下搭···验证···。提···于相···互相···的标···方法···采集···D相···,经···理方···先验···标签···标签···列计···关系···据得···相关···分目···和干···;并···室环···建平···该算···展了···中工···能制···RF···道门···验证···文所···标签···法的···,搭···件系···实验···下进···验验···明本···出的···很好···与实···环境···广泛···前景···。

    ...
  • 6.基于···D相···的机···位方···

    • 关键词:
    • 机器人化智能制造;机器人;RFID;RFID定位;相位
    • 吴海·
    • 指导老师:华中···学 陶波
    • 学位论文

    机器···能制···能制···来发···方向···器人···制造···,需···机器···位问···括目···的位···和机···身的···息感···为物···重要···RF···唯一···性可···器人···中目···等的···程,···视觉···复杂···提取···算法···RF···有低···无需···视等···利用···FI···位技···决机···位置···知问···RF···“I···器”···置传···属性···,可···FI···置管···和机···位置···平。···论文···究了···FI···特征···人定···与技···,取···些理···,并···研究···机器···能制···中,···究工···新点···提出···RF···缠相···器人···置识···。构···缠相···置模···空间···别转···个非···优化···题,···传统···穷举···搜索···在保···位置···度的···低计···。同···析了···缠中···采样···提出···RS···天线···略,···间位···的精···建了···机器···成孔···载体···ID···间位···平台···了所···法的···和性···立了···FI···差的···空间···别方···示了···D相···息和···置之···在关···,从···证实···差可···间位···,并···基于···D相···测模···器人···置识···。将···的基···ID···的机···间位···方法···移动···寻位···验表···仅使···RF···备时···出的···够实···机器···度自···。构···合R···相位···读性···人位···方法···相位···的高···且无···标定···,构···于相···息的···D定···,并···相位···姿之···糊性···为此···步提···RF···读性···逻辑···抑制···差信···姿模···响。···出的···模型···可读···类逻···进行···实现···RF···签阵···下移···人高···姿识···展了···D定···在机···智能···统中···验证···机器···能制···中的···自动···程需···合本···,搭···FI···识别···软件···在汽···厂的···间工···现场···实验···验证···本文···的R···定位···实际···用中···泛的···景,···要的···义。

    ...
  • 7.基于···D伺···动机···主导···研究

    • 关键词:
    • 移动机器人;移动机器人导航;射频识别;RFID伺服;避障
    • 张博·
    • 指导老师:华中···学 尹周·
    • 学位论文

    智能···器人···生产···提升···量方···了重···,自···是智···机器···心能···是移···人领···究热···比视···光、···航等···移动···导航···射频···RF···技术···具有···D识···视距···光照···自动···成本···优势···人导···中显···特的···针对···FI···技术···存在···设大···标签···轨迹···实时···问题···文提···种基···ID···度伺···的移···人自···方法···RF···签角···的避···,实···动机···高效···本文···研究···括:···基于···D相···的移···人伺···。根···信号···与传···的关···出了···位梯···FI···方法···明了···的算···行性···性,···基于···FI···方法···的需···量参···、导···曲折···。构···于相···的目···,提···于信···(R···iv···Si···l ···en··· I···ca···,R···)的···达判···,设···于P···伺服···。多···环境···真实···,本···提出···RF···位梯···动机···服方···很好···性能···性,···了现···ID···术中···无法···否到···位置···。建···于R···标签···计的···法。···一种···天线···列的···度(···le··· A···ve···A)···法,···传统···A方···个天···距离···过λ···问题···了用···的模···控制···现了···物的···数量···的情···避障···搭建···ID···航系···验平···目标···定、···置突···标位···移动···同的···件下···于R···伺服···机器···实验···从机···运动···到达···行分···证了···的R···伺服···有效···越性·

    ...
  • 8.大型···件机···动加···末端···设计

    • 关键词:
    • 大型复杂构件;机器人移动加工;并联末端执行器;顺应加工
    • 褚宏·
    • 指导老师:华中···学 陶波
    • 学位论文

    大型···件,···叶片···结构···铁车···等,···曲面···寸精···面粗···提高···动力···至关···需要···进的···工技···高精···。基···平台···械臂···臂法···末端···构建···人移···系统···复杂···高效···工提···思路···基于···移动···统设···种三···并联···行器···虚拟···全并···人广···/力···标,···一种···构顺···指标···顺应···标完···联末···器的···化,···大型···件自···的顺···。本···要研···如下···了一···由度···端执···通过···型的···度并···和少···并联···确定···工机···联末···器采···灵活···力的···R构···于实···动机···台,···3-···并联···行器···了3···S并···执行···动学···借助···论求···-R···联机···克比···为并···执行···巧度···供了···础。···并联···行器···工作···通过···析大···构件···工的···确定···末端···位姿···约束···提出···工作···概念···联机···般工···相比···工作···优点···指示···的磨···。给···种计···工作···方法···法较···但计···度高···法则···便有···3-···并联···行器···工球···,计···应工···验证···法的···。完···动加···人并···执行···设计···一种···拟系···并联···广义···力传···,重···顺应···间,···顺应···标的···以此···并联···行器···优化···了优···3-···并联···行器···空间···度;···真分···了优···-R···联末···器可···电叶···顺应···构建···末端···轨迹···验平···动加···人并···执行···打磨···台。···研制···RR···末端···进行···跟踪···分析···跟踪···误差···正偏···小负···证明···RR···末端···有较···动精···于移···机器···末端···力控···验平···了力···实验···RR···末端···的顺···性能···估,···-R···联末···器可···风电···自由···面变···过理···和实···得到···表面···打磨···机输···呈线···,且···上下···大±···证明···加工···并联···行器···效地···型复···自由···顺应···务。

    ...
  • 9.基于···习的···加工···制技···

    • 关键词:
    • 强化学习;阻抗控制;最优控制;机器人加工;控制器优化
    • 韩世·
    • 指导老师:华中···学 陶波
    • 学位论文

    随着···技术···的发···器人···生产···民生···中都···重要···但是···以获···人的···型参···何合···机器···制器···至取···参数···便捷···方法···是引···息对···进行···制时···理的···数易···人陷···。本···强化···论,···制系···函数···价值···控制···模型···方式···了一···可靠···人阻···器设···化方···文的···究内···:首···阻抗···略进···,对···了基···和基···阻抗···原理···方式···了阻···器的···及机···抗加···的整···域,···阻抗···加工···响,···了基···度的···抗控···及其···不足···,提···基于···or···it···化学···器人···制器···法。···强化···原理···方式···制系···关概···化学···相对···控制···价值···策略···形式···方式···模,···种基···to···ri···强化···机器···控制···方法···数值···析了···数对···应的···之后···ct···Cr···c强···方法···设计···阻抗···,并···安全···略以···习的···和效···机器···控制···进行···将其···位置···和外···态反···。分···出了···有物···的代···形式···一种···ct···Cr···c强···的机···抗控···计方···出了···全学···,提···化学···全性···率。···过数···验证···方法···性,···了相···对系···和稳···影响···,在···机器···成了···运动···和阻···器的···首先···人的···和腕···运动···进行···化,···所提···对不···系统···性。···机器···节的···制器···计优···现机···使用···定交···明了···算法···交互···用价···后设···人加···,综···人肩···节的···制器···腕关···控制···,实···薄板···有效···证明···出算···器人···工上···价值·

    ...
  • 10.大型···件机···动加···规划··

    • 关键词:
    • 大型复杂构件;机器人加工;移动机械臂;运动规划;碰撞检测
    • 范奇
    • 指导老师:华中···学 陶波
    • 学位论文

    机器···加工···机动···灵巧···重构···易于···成和···作等···是实···复杂···效高···能化···造的···径。···运动···够充···机器···加工···,是···型复···加工···效率···。但···型复···尺寸···形状···表面···形状···求较···器人···工运···时必···件化···,并···用机···动加···的冗···行机···度及···性能···存在···析困···算量···题。···本文···型复···机器···加工···划问···机器···碰撞···法为···分别···人任···、性···、轨···等角···研究···了面···复杂···器人···工的···划体···法,···关研···应用···复杂···加工···论文···究成···:针···加工···划计···,计···低的···提出···特征···快速···撞检···。建···器人···对象···碰撞···型,···模型···机器···工对···的碰···。分···,加···上总···少量···点,···范围···能发···的轨···然后···构件···析和···运动···了特···高效···法。···征点···有轨···行全···检测···了检···性,···效率···离散···测方···2~···量级···加工···积大···复杂···规划···题,···基于···任务···大型···件加···划分···首先···构件···几何···即加···法矢···件整···区域···若干···方向···致的···;然···任务···,以···离线···得轨···为输···合考···人可···奇异···规避···条件···子曲···的轨···进一···为若···状规···积相···区域···续工···及全···研究···有力···针对···刚性···束条···性能···的问···出了···度性···动学···机器···加工···化方···析了···刚度···提出···任务···刚度···价指···SP···实验···指标···质量···。在···上,···以M···最大···标函···关节···关节···奇异···碰撞···为约···的工···模型···,分···了基···算法···)、···优化···O)···二次···SP···P)···最优···算方···通过···行了···法的···分析···对比···了移···机器···工位···化、···加工···定及···轨迹···题,···完善···复杂···动加···规划···提出···木桶···序列···局优···,从···度改···工区···及工···结果···区域···序指···为移···最短···划问···出了···传算···短路···方法···了操···三次···划与···间多···条规···合的···划方···证了···加工···轨迹···连续···风电···面打···用背···建了···杂构···人移···硬件···介绍···的主···。开···器人···工软···备大···构件···分、···程、···化及···划与···划等···为大···构件···-规···工”···的实···了基···于上···件系···风电···面打···中进···究方···统性···

    ...
  • 排序方式:
  • 2
  • /