A Research for Intelligent Cotton Picking Robot Based on Machine Vision

摘要：

Analysing the cotton picker in current situation of China,this paper proposed a new design of Intelligent Cotton Picking Robot (ICPR)based on machine vision including the motion control subsystem and machine vision subsystem.The former adopts the YASKAWA MP2100 as the core,which can control the robot of 4-DOF and X-axis.The latter based on the interface module of SEED-VPM642 with 2-CCD cameras,can get an efficient and precise recognition.The identification of mature cotton is one of the critical tasks in this robotic application.According to the statistic experiments and analysis, an optimized segmentation algorithm based on chromatic aberration is studied.The results demonstrate that the method for cotton recognition is well done and the increased pace helps improve the speed of the processing.

关键词： Intelligent Cotton Picking Robot (ICPR),electrical control system machine vision image segmentation

作者: Mulan Wang Jieding Wei Jianning Yuan Kaiyun Xu

作者单位: Jiangsu Key Laboratory of Advanced Numerical Control Technology,Nanjing Institute of Technology School of Automation,Southeast University Nanjing,Jiangsu Province,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 800-803

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）