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A robotic arm simulator software tool for use in introductory robotics courses

机译:用于入门机器人课程的机器人手臂模拟器软件工具

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With the rising popularity of robotics in our modern world there is an increase in engineering programs that do not have the resources to purchase expensive dedicated robots but find a need to offer a basic course in robotics. This common introductory robotics course generally covers the fundamental theory of robotics including robot kinematics, dynamics, differential movements, trajectory planning and basic computer vision algorithms commonly used in the field of robotics. The nature of this material almost necessitates the use of robotic hardware to allow the students to practice implementing the theory they learn in class. That is, to fully understand the material, it is necessary for the students to implement algorithms and observe the results on hardware. This paper introduces a software based educational tool designed to be used in introductory robotics courses. The software simulates the geometry of motion (kinematics) of a two link robotic arm and is used by students to implement algorithms based on the robot's kinematic equations. This includes the use of inverse kinematic equations used to determine the joint inputs based on the desired location of the end-effector, as well as trajectory planning and the study of differential movements. It also include a robotic image processing tool that helps the student design robotic vision algorithms. This tool provides a low cost solution to situations where purchasing expensive robotic arms typically needed for this course is not possible, where the existing equipment does not allow for direct joint programming, or simply for on-line robotics courses.
机译:随着机器人技术在现代世界中的日益普及,工程程序的增加,这些程序没有资源购买昂贵的专用机器人,但发现有必要提供机器人学的基础课程。该通用入门机器人课程通常涵盖机器人学的基本理论,包括机器人运动学,动力学,微分运动,轨迹规划和机器人领域常用的基本计算机视觉算法。这种材料的性质几乎需要使用机器人硬件,以使学生能够练习实施他们在课堂上学到的理论。也就是说,要充分理解材料,学生有必要实现算法并在硬件上观察结果。本文介绍了一种设计用于基础机器人课程的基于软件的教育工具。该软件可模拟两连杆机械臂的运动几何(运动学),学生可使用该软件来实现基于机器人运动学方程式的算法。这包括使用反运动学方程式,用于根据末端执行器的所需位置来确定关节输入,以及轨迹规划和差分运动的研究。它还包括一个机器人图像处理工具,可帮助学生设计机器人视觉算法。该工具为无法购买该课程通常所需的昂贵机械臂,现有设备不允许直接联合编程或仅用于在线机器人课程的情况提供了一种低成本解决方案。

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