Real time kinect based robotic arm manipulation with five degree of freedom

Sunny Amatya, S. Petchartee
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引用次数: 13

Abstract

We propose a real time, gesture based robotic arm manipulation using kinect sensor. This method uses kinect depth data, skeletal data and joint orientation data for end effector movement including roll, pitch and pinch. For the initial data, we extracted skeletal of the person, hand position and hand state. In closed hand state condition, the position of the hand is extracted and the three dimension data is used for inverse kinematics of the joints of the robotic arm. In open hand state, tilting and rolling of hand is used for pitch and roll respectively. In lasso state, pinch of end effector is perceived. The robotic arm used for the experimentation is Scorbot ER III. The system shows promising results for non-invasive robotic arm manipulation.
实时的基于kinect的机械臂操纵与五个自由度
我们提出了一个实时的,基于手势的机械臂操作使用kinect传感器。该方法使用kinect深度数据、骨骼数据和关节方向数据进行末端执行器运动,包括滚转、俯仰和捏缩。对于初始数据,我们提取了人的骨骼、手的位置和状态。在手闭合状态下,提取手的位置,利用三维数据对机械臂关节进行运动学逆解。在手开状态下,俯仰和滚转分别采用手的倾斜和滚转。在套索状态下,可以感知末端执行器的夹紧。用于实验的机械臂是Scorbot ER III。该系统在非侵入式机械臂操作方面显示出良好的效果。
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