摘要
为了提高机器人移动轨迹智能检测能力,提出一种基于红外视觉技术的机器人移动轨迹智能检测方法。首先构建机器人移动动态环境模型,再采用红外视觉技术进行机器人移动轨迹规划多帧观测信息匹配,建立机器人移动轨迹分布模糊匹配参数,并采用特征点匹配方法得到机器人移动轨迹规划和空间参数辨识,最后根据参数实现对机器人移动轨迹的智能检测。测试结果表明,利用该方法进行机器人移动轨迹智能检测的精度较高,避障能力较强。
In order to improve the intelligent detection ability of robot moving trajectory, this paper proposes an intelligent detection method of robot moving trajectory based on infrared vision technology. Firstly, the dynamic environment model of the robot is constructed, and then the infrared vision technology is used to match the multi frame observation information of the robot’s moving trajectory planning, and the fuzzy matching parameters of the robot’s moving trajectory distribution are established, and the feature point matching method is used to obtain the robot’s moving trajectory planning and spatial parameter identification. Finally, the intelligent detection of the robot’s moving trajectory is realized according to the parameters. The test results show that the method has high accuracy and strong obstacle avoidance ability.
作者
江渝川
何国斌
JIANG Yuchuan;HE Guobin(Chongqing College of Humanities,Science&Technology,Chongqing 401524,China;Southwest University,Chongqing 400715,China)
出处
《激光杂志》
CAS
北大核心
2022年第10期184-187,共4页
Laser Journal
基金
四川省科技计划项目(No.2019JY0340)
重庆人文科技学院教学改革研究项目(No.18CRKXJJG10)。
关键词
红外视觉技术
机器人移动轨迹
智能检测
卡尔曼滤波
infrared vision technology
robot movement trajectory
intelligent detection
kalman filtering