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作 者:沈莉丽[1]
出 处:《组合机床与自动化加工技术》2017年第12期78-80,84,共4页Modular Machine Tool & Automatic Manufacturing Technique
摘 要:为了更好的给老年人提供服务,提出了基于Kinect视觉识别功能的智能居家机器人控制系统。首先通过Kinect摄像头获取人体景深图像,然后利用姿态识别算法对人体姿态进行识别,最后将识别结果转换为控制命令传输到智能居家机器人使其完成自主抓取、传递物品等一系列动作。实验表明,基于Kinect视觉识别的控制方式能准确控制智能居家机器人,实现了机器人控制方式上的创新,对服务型机器人领域的发展研究具有很好的参考价值。In order to better provide services to the elderly,an intelligent home robot control system based on Kinect was designed in this paper. First of all,the computer was used to obtain the depth image data of human body through Kinect camera. Then,the recognition control algorithm was used to recognize the human body posture. Finally,the recognition result was converted to control command that transmitted to the robot to complete a series of actions such as grabbing and delivering objects,that meet old. Experimental results indicated that the control method based on visual identity can accurately control the intelligent home robot,that realizes the innovation of robot control mode. In reality,it has some potential benefits for the applications in the field of humanoid robot research.
分 类 号:TH165[机械工程—机械制造及自动化] TG659[金属学及工艺—金属切削加工及机床]
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