摘要
针对使用线性CCD作为图像采集模块的类人机器人图像获取时间长、效率低等缺点,设计一种基于OpenMv的类人机器人。类人机器人投篮系统设计首先完成软硬件设计,然后将采集到的图像转为HSV颜色模型,利用图像分割技术将目标与背景进行分割,进而计算质心坐标,最后通过专家控制策略输出得到相应的信号调整机器人的动作。实验表明:该系统具有较高的可靠性、适应性及有效性。
Aiming at the shortcomings of long time and low efficiency of humanoid robot images using linear CCD as image acquisition module,a kind of humanoid robot based on OpenMv is designed.The design of the humanoid robot shooting system completes the hardware and software design firstly,then converts the acquired image into the HSV color model,uses the image segmentation technology to segment the target and the background,and then calculates the centroid coordinates.Finally,the corresponding signal is output through the expert control strategy.Adjust the movement of the robot.Experiments show that the system has high reliability and adaptability,and won the first prize in the robot competition of the five provinces(municipalities and autonomous regions)in North China,which verifies the applicability,reliability and effectiveness of the method.
作者
牛国臣
朱通
Guo-chen NIU;Tong ZHU(College of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,China)
出处
《机床与液压》
北大核心
2020年第12期191-197,共7页
Machine Tool & Hydraulics
基金
天津市应用基础与前沿技术研究计划项目(14JCQNJC04400)。
