手势驱动的乐高机器人

IF 0.3 Q4 COMPUTER SCIENCE, THEORY & METHODS Acta Universitatis Sapientiae Informatica Pub Date : 2019-08-01 DOI:10.2478/ausi-2019-0006
Lehel István Kovács
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引用次数: 1

摘要

在这个简短的调查和案例研究中,我们想通过我们团队开发的项目来展示我们的研究经验,该项目涉及建造乐高MINDSTORMS EV3机器人手臂和履带式机器人汽车,模仿人类手臂和腿的运动。我们使用了3块相互连接的LEGO MINDSTORMS EV3砖块来达到所需的自由度。使用Kinect传感器,该系统检测人类用户手臂的运动,并创建手臂的骨骼图像。坐标几何和不同的近似方法用于计算连接关节的骨头之间的旋转角度。在我们的项目中,关键是逆运动学,它利用运动学方程来确定关节旋转参数,为每个机器人的末端执行器-手臂和腿(轮子)提供所需的位置。LEGO MINDSTORMS EV3电机的组合运动导致了一个完整的机器人向前或向后运动和手臂运动,这是一个完美的模仿人类手臂运动。
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Gesture-Driven LEGO robots
Abstract In this short survey and case study we want to present our research experience through the project developed by our team, that involves the building of a LEGO MINDSTORMS EV3 robotic arm and tracked robot car which mimics the motion of the human arm and legs. We used 3 interconnected LEGO MINDSTORMS EV3 bricks to reach the desired degrees of freedom. Using a Kinect sensor, the system detects the motion of the human user’s arm and creates the skeletal image of the arm. Coordinate geometry and different approximation methods are used to calculate the rotation angles between the bones connecting the joints. In our project the key is inverse kinematics, whitch makes use of the kinematics equations to determine the joint rotation parameters that provide a desired position for each of the robot’s end-effectors – arms and legs (wheels). The combined motion of the LEGO MINDSTORMS EV3 motors results in a complete robotic forward or backward motion and arm movement which is a perfect mimic of the human arm movement.
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来源期刊
Acta Universitatis Sapientiae Informatica
Acta Universitatis Sapientiae Informatica COMPUTER SCIENCE, THEORY & METHODS-
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