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Intelligent arm manipulation system in life science labs using H20 mobile robot and Kinect sensor

机译:使用H20移动机器人和Kinect传感器生活科学实验室智能臂操纵系统

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In service robot applications, the detection and pose calculation of the desired objects are very essential to manipulate them. This paper presents an intelligent system to realize manipulation tasks for different objects in life science laboratories. This system uses the H20 mobile robots equipped with Kinects as visual sensors to recognize the required target and identify its pose related to the robot body. The H20 robot has dual arms where each arm consists of 6 revolute joints with 6-DOF. For each arm, the closed-form solution for the inverse kinematic problem is found. Different grippers and handles which are attached to a labware container are designed for this purpose. The detection and localization methods are performed for single colored and textured targets related to the handle to be grasped and to the placing holder. The methods are based on HSV color segmentation and also on local features recognition with SURF (Speeded-Up Robust Features). Client-Server communication models are developed to connect the navigation control with the arm controller which is in turn also connected with the Kinect control for visual processing.
机译:在服务机器人应用中,所需对象的检测和姿势计算对于操纵它们是至关重要的。本文介绍了一个智能系统,实现生命科学实验室不同对象的操纵任务。该系统使用配备有Kinects作为视觉传感器的H20移动机器人,以识别所需的目标并识别其与机器人身体相关的姿势。 H20机器人具有双臂,其中每个臂由6个旋转接头组成,具有6- DOF。对于每个臂,发现了逆运动问题的闭合溶液。为此目的设计了附加到Labware容器的不同夹持器和手柄。针对与掌握的手柄和放置支架相关的单色和纹理靶来执行检测和定位方法。该方法基于HSV彩色分割,也基于带冲浪的局部特征识别(加速鲁棒功能)。开发了客户端 - 服务器通信模型以将导航控制与ARM控制器连接,该ARM控制器又与用于可视处理的Kinect控制器连接。

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