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An open-source multi-DOF articulated robotic educational platform for autonomous object manipulation

机译:开源的多自由度铰接式机器人教育平台,用于自主对象操作

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摘要

This research presents an autonomous robotic framework for academic, vocational and training purpose. The platform is centred on a 6 Degree Of Freedom (DOF) serial robotic arm. The kinematic and dynamic models of the robot have been derived to facilitate controller design. An on-board camera to scan the arm workspace permits autonomous applications development. The sensory system consists of position feedback from each joint of the robot and a force sensor mounted at the arm gripper. External devices can be interfaced with the platform through digital and analog I/O ports of the robot controller. To enhance the learning outcome for beginners, higher level commands have been provided. Advanced users can tailor the platform by exploiting the open-source custom-developed hardware and software architectures. The efficacy of the proposed platform has been demonstrated by implementing two experiments; autonomous sorting of objects and controller design. The proposed platform finds its potential to teach technical courses (like Robotics, Control, Electronics, Image-processing and Computer vision) and to implement and validate advanced algorithms for object manipulation and grasping, trajectory generation, path planning, etc. It can also be employed in an industrial environment to test various strategies prior to their execution on actual manipulators.
机译:这项研究提出了一种用于学术,职业和培训目的的自主机器人框架。该平台以6自由度(DOF)串行机械臂为中心。推导了机器人的运动学和动力学模型,以方便控制器设计。机载摄像头可以扫描手臂工作区,从而可以自主开发应用程序。传感系统包括来自机器人每个关节的位置反馈和安装在手臂夹具上的力传感器。外部设备可以通过机器人控制器的数字和模拟I / O端口与平台连接。为了提高初学者的学习效果,提供了更高级别的命令。高级用户可以通过利用开源的定制开发的硬件和软件体系结构来定制平台。通过实施两个实验证明了该平台的有效性。对象的自动分类和控制器设计。所提议的平台具有潜力,可以教授技术课程(例如机器人技术,控制,电子,图像处理和计算机视觉),并可以实施和验证用于对象操纵和抓取,轨迹生成,路径规划等的高级算法。在工业环境中用于测试各种策略,然后在实际操纵器上执行这些策略。

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