首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 126 毫秒
1.
工业机器人产业现状与发展   总被引:4,自引:1,他引:4  
一.国外工业机器人现状 工业机器人是集机械、电子、控制、计算机、传感器、人工智能等多学科先进技术于一体的重要的现代制造业自动化装备.在国外,工业机器人技术日趋成熟,已经成为一种标准设备而得到工业界广泛应用,从而也形成了一批在国际上较有影响力的、知名工业机器人公司.  相似文献   

2.
针对工业流水线分拣作业的需求设计了一套基于视觉检测的工业机器人分拣系统。系统采用工业相机获取工件图像等信息,通过图像识别方法进行工件识别并与机器人建立通信,控制机器人准确抓取并分拣工件。本系统分析图像采集、图像处理与坐标变换等任务,并通过我校罗克韦尔公司提供的可编程逻辑控制器和伺服驱动器运动控制模块搭建仿真实验平台。该系统具有较高的运行速度和准确度,探讨工业机器人在机器视觉条件下的分拣技术,可应用于工业流水线自动化分拣作业领域,促进工业机器人分拣技术被进一步推广和应用,提升我国各个行业中自动化生产线的生产效率和柔性。  相似文献   

3.
人和机械手象棋对弈系统的研究与实现   总被引:1,自引:0,他引:1  
综合运用计算机程序设计、数字图像处理技术及串口通讯技术实现了人和机械手的象棋对弈系统:人走后的棋子的位置信息由低成本普通摄像头实时传给计算机,以对位置信息进行图像处理判断出人的走步,上位机根据处理得到的结果再通过串口通讯技术给下位机PLC发相应的指令,使其来控制机械手下一步的下棋动作.将计算机视觉领域中的图像分析与图像识别技术应用于对机械手操作目标的监测与识别,适应了现代化的工业要求,具有良好的应用与发展前景.  相似文献   

4.
CCD传感器及其应用研究   总被引:1,自引:0,他引:1  
伴随半导体与光电技术的迅速发展,固态图像传感器也应运而生,生产工艺技术也发展迅猛.固态图像传感器与普通图像传感器相比,具有体积小、失真小、灵敏度高、抗振动、耐潮湿、成本低等许多优点,因此可以被广泛应用于工业测量、控制,尤其是在图像识别等领域,并将广泛渗透于我国的工农业生产的各个部门,为我国的精细加工、机器人技术以及工业自动化领域的发展起重大作用.同时,计算机软硬件技术的日新月异,也会给固态图像传感器的应用带来广阔前景.  相似文献   

5.
图像识别是图像研究领域的热门话题,它广泛应用于人脸识别、计算机视觉、机器人等许多领域.智能电网是世界电网发展的趋势,它将为用户提供稳定可靠、安全性高、灵活性强及高质量的电能.为了保证智能电网的安全可靠,电力信息安全技术是必要条件.文中通过分析图像识别过程及其步骤,综述图像特征提取方法和图像识别算法,总结图像识别的研究方向.最后通过分析智能电网对信息安全技术的依赖性,总结图像识别在智能电网,特别是电力信息安全中的应用前景  相似文献   

6.
高俊英  高玉光 《软件》2022,(9):107-109
随着我国科学技术的不断发展,我国的工业技术水平得到了快速的提升。近年来,在科学技术的带动下,工业机器人在工业领域开始有广泛的应用,在操作人员的引导下可以更好地完成相应的工作内容。但机器人对外界的感知能力不足,不能根据外界环境变化做出调整,需要导航技术对其进行引导,而计算机视觉系统是应用比较广泛的导航系统。计算机视觉系统在工业机器人上的应用,可以通过相应的系统进行图像采集、分析、计算处理,根据图像处理结果来实现对机器人的导航,让机器人更好的随外界环境变化及时做出调整,让机器人更加灵活,提高机器人的外界适应性,更好地满足工业生产要求。  相似文献   

7.
计算机应用领域当前已是相当广泛,同时计算机的智能处理技术更是日渐成熟,其中,计算机的图像识别的智能化处理技术也得到了较快的发展。该文主要围绕安防行业对计算机图像识别的智能化处理要求、计算机图像识别智能化处理技术的应用原理两大方面展开讨论,对计算机图像识别的智能化处理技术进行一个系统的分析。  相似文献   

8.
贾孟媛 《电脑迷》2018,(7):38-39
计算机在当前社会生活与生产中的应用是比较广泛的,计算机技术的提高引起了人民很大的关注.本文重点对计算机智能化图像识别技术进行了分析,利用先进的技术手段对图像识别处理进行优化更新,取得更好的发展前景.  相似文献   

9.
人脸识别技术在生产、生活中的应用日益增多,本文设计并实现了一套准确快速的人脸图像识别系统.利用图像处理和计算机视觉相关算法,判断图像中是否有人脸,并给出存在人脸的数量和位置,以及建立人员身份信息简历SQL数据库,然后基于PCA及BPNN等算法来提取图像特征并通过脸与脸的匹配度进行识别.  相似文献   

10.
机器人寻迹技术广泛应用于工业农业生产.本设计使用51系列单片机对一个轮式机器人进行控制.通过灰度传感器实现简易机器人的简单寻迹,用户可以根据需要对系统设定一个灰度初值,通过数据采集系统对外界的灰度进行采集,将采集到的数据与设定的初值比较,判断当前机器人的位置,从而确定机器人接下来的运行方式.本设计制作的简易机器人能够实现机器人在任意弯曲的轨迹自动寻迹,并能够快速准确的做出反应.  相似文献   

11.
工业机器人在分拣过程中,目标物体可能存在各种形状、尺寸和外观变化,同时还可能受到遮挡和光照条件的影响,使得目标的检测和识别复杂,导致分拣控制功能和应用性能差。为此,设计了基于OMRON视觉的工业机器人分拣控制系统。采用OMRON视觉传感器、机器人分拣控制器和驱动器,完成分拣控制硬件系统设计。利用OMRON视觉,采集工业机器人分拣目标图像,通过直方图均衡化和滤波去噪,完成初始分拣目标图像的预处理。提取工业机器人分拣目标的轮廓特征,通过特征匹配确定分拣目标类型,得出位置、几何结构等空间参数的检测结果。最终通过控制参数计算、工业机器人位姿识别以及控制量求解等步骤,实现系统的分拣控制功能。通过系统测试实验表明,设计系统的抓取位置控制误差、分拣目标位置控制误差和分拣对象表面磨损量较小,具有较好的分拣控制功能和应用性能。  相似文献   

12.
以新松6轴SRH6工业机器人和GMl400千兆以太网工业相机为基础,搭建了基于机器视觉的工业生产线智能抓取实验平台。首先利用工业相机对生产线上进入到工作区的工件进行拍摄,获取数字图像;然后利用软件对采集到的数字图像进行分析处理,利用其特征对工件进行识别,计算出工件的几何中心坐标,再利用坐标变换得到工件的空间位置:最后引导机器人控制吸盘机械手来完成工件的分类与抓取工作。实验表明,抓取成功率为100%,该方法为工业生产自动化、智能化提供了解决方案。  相似文献   

13.
Recognition and identification of weld environment and seam dimensional position by computer vision is a key technology for developing advanced autonomous welding robot. Aiming at requirements for recognition of weld seam image characteristics, this paper first presents an improved algorithm of subpixel edge detection based on Zernike moments. Comparing with the Ghosal’s original algorithm, the improved algorithm deals with mask effect and first derivative model on edge gradient direction so that it has the strong robust to noise, self-thinning ability and higher locating precision. An algorithm based on ZMs to extract line is also proposed, the comparative results with SHT and RHT show the method has the highest calculation speed and accuracy. The stereovision technology is developed to identify dimensional position of weld seam by computing dimensional coordinates of the weld seam. According to characteristics of weld seam, view field scope model and stereovision model based on baseline are studied and a stereo matching method is presented. In order to evaluate the algorithms and models presented in this paper, a welding robot systems with single camera fixed on the weld torch end-effector has been established for the robot to identify the dimensional position of typical weld seam by one-item and two-position method. The experiment results on S-shape and saddle-shape weld seams show that the vision computing method developed in this paper can be used for acquiring weld seam dimensional position information in welding robot system. Thus the welding path is mapped before the welding operation is executed.  相似文献   

14.
针对双球红外接收头芯片人工缺陷检测难度大、误判率高等问题,设计了一个基于机器视觉的引脚缺陷检测系统,对双球红外接收头芯片的引脚进行缺陷检测,达到分辨出合格品和瑕疵品的目的;首先,通过工业相机实时采集芯片图像,并对图像进行滤波、灰度化等预处理;然后利用VisionPro视觉软件的PMAlign工件进行图像特征匹配,计算引脚个数以判断引脚是否缺失,利用AnglePonitPonit工具计算引脚间距以判断引脚是否弯曲;最后将检测到的芯片位置信息和识别结果通过socket通讯协议发送给工业机器人;工业机器人根据识别结果,将合格品和瑕疵品分别抓取至不同区域,实现对芯片的分类管理;实验结果表明,该缺陷检测系统误判率为0.4%,满足工业生产的要求。  相似文献   

15.
《Advanced Robotics》2013,27(3):261-272
This paper proposes an efficient position identification method for mobile robots in the environment of a building corridor using colour images and map information. A robot can usually estimate its position from its motion history (so-called dead reckoning); however, there are occasions when the robot's position needs to be estimated without the motion history, for example when self-tracking of the motion has failed, or just after the robot power is on. The proposed method is to identify the robot's position without the motion history. The method consists of the following three steps: (1) map information for the mobile robot is prepared; (2) a colour image is processed to detect a vanishing point and to generate an abstracted image. The robot moves to an appropriate position for the identification, if it is unable to identify the current position; and (3) the current robot position is identified from the map information, the vanishing point, and the abstracted image. The effectiveness of the proposed method is shown by the experimental results.  相似文献   

16.
工业机器人在抓取环节如果配置机器视觉装置,应用图像处理技术,在抓取效率和准确度方面就有优势。该文介绍机器人功能实训台的工件抓取视觉系统的组成,侧重工件轮廓的图像处理技术,以图像处理作为机器人视觉系统处理的核心目标,将视觉图像技术与机器人工件抓取技术协作应用于工业机器人实训平台的抓取环节,利用工业机器人运动过程中坐标的转换,通过相机的正确标定与抓取动作的共同控制,实现工件的精确定位,达到可靠抓取的目的。总结图像处理技术在工件抓取中的协作应用效果,期待便捷的视觉图像技术与机器人工件抓取的协作应用。  相似文献   

17.
Vision-based remote control of cellular robots   总被引:1,自引:0,他引:1  
This paper describes the development and design of a vision-based remote controlled cellular robot. Cellular robots have numerous applications in industrial problems where simple inexpensive robots can be used to perform different tasks that involve covering a large working space. As a methodology, the robots are controlled based on the visual input from one or more cameras that monitor the working area. As a result, a robust control of the robot trajectory is achieved without depending on the camera calibration. The remote user simply specifies a target point in the image to indicate the robot final position.

We describe the complete system at various levels: the visual information processing, the robot characteristics and the closed loop control system design, including the stability analysis when the camera location is unknown. Results are presented and discussed.

In our opinion, such a system may have a wide spectrum of applications in industrial robotics and may also serve as an educational testbed for advanced students in the fields of vision, robotics and control.  相似文献   


18.
A sensor fusion method for state estimation of a flexible industrial robot is developed. By measuring the acceleration at the end-effector, the accuracy of the arm angular position, as well as the estimated position of the end-effector are improved. The problem is formulated in a Bayesian estimation framework and two solutions are proposed; the extended Kalman filter and the particle filter. In a simulation study on a realistic flexible industrial robot, the angular position performance is shown to be close to the fundamental Cramér-Rao lower bound. The technique is also verified in experiments on an ABB robot, where the dynamic performance of the position for the end-effector is significantly improved.  相似文献   

19.
以VS2010为软件平台,以Staubli TP80机器人,康耐视摄像机和传送带为硬件基础,对锯条进行识别,定位和动态抓取,搭建了一个基于机器视觉的工业机器人智能抓取系统,其中Staubli-TP80机器人为操作手臂,利用康耐视摄像机和工控机搭建视觉检测平台,通过抓取系统的参数化建模实现图像坐标到机器人坐标的转换,利用OpenCV函数库实现锯条的图像处理和模式匹配,最后控制机器人对动态目标进行抓取。  相似文献   

20.
This paper describes the development of a robotic CAM system for an articulated industrial robot RV1A from the view point of robotic servo controller. It is defined here that the CAM system includes an important function which allows an industrial robot to move along cutter location data (CL data) consisting of position and orientation components. In addition, the developed CAM system has a high applicability to other industrial robots whose servo systems are technically opened to end-users. The developed robotic CAM system works as a straightforward interface between a general CAD/CAM and an industrial robot. At the present stage, the relationship between CAD/CAM and industrial robots is not well established compared to NC machine tools that are widely spread in manufacturing industries. The CAM systems for NC machine tools are already established, however, the CAM system for industrial robots has not been sufficiently considered and developed yet. A teaching pendant is generally used to obtain position and orientation data of the arm tip before an industrial robot works. Here, in order to enhance the relationship between a conventional CAD/CAM system and an industrial robot, a simple and straightforward CAM system without using any robot language is developed and implemented. The basic design of the robotic CAM system and the experimental results are presented in this paper.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号