Abstract
With the continuous advancement of science and technology and the rapid development of robotics, it has become an inevitable trend for domestic robots to enter thousands of households. In order to solve the inconvenience problem of the elderly and people with special needs, because the elderly and other people in need may need the help of domestic robots due to inconvenient legs and feet, the research of the robot target position based on monocular stereo vision and the understanding of the robot NAO are very important. Research and experiments are carried out on the target recognition and positioning in the process of NAO robot grasping. This paper proposes a recognition algorithm corresponding to quantitative component statistical information. First, extract the area of interest that contains the purpose from the image. After that, to eliminate interference in various fields and achieve target recognition, the robot cameras have almost no common field of view and can only use one camera at the same time. Therefore, this article uses the monocular vision principle to locate the target, and the detection algorithm is based on the structure of the robot head material, establishes the relationship between the height change of the machine head and the tilt angle, and improves the monocular vision NAO robot detection algorithm. According to experiments, the accuracy of the robot at close range can be controlled below 1 cm. This article completes the robot’s grasping and transmission of the target. About 80% of the external information that humans can perceive comes from vision. In addition, there are advantages such as high efficiency and good stability.
Highlights
With the development of robot-related technologies, robots are widely used in production and life: smart home service robots, industrial robots, and other medical robots and entertainment robots. e emergence of smart home service robots, on the one hand, meets the needs of the market; on the other hand, according to the change of science and technology from the information age to the intelligent age, new products are born in new fields
Grasping the goal in the home environment is an action that smart robots must often complete one. e recognition and positioning of the target object are a prerequisite for the robot to successfully understand the target object
Based on the same movement mode as similar appearance features, the NAO robot is used as a platform to study the behavior of imitating human robots, helping people to bring objects into their daily lives
Summary
Based on the same movement mode as similar appearance features, the NAO robot is used as a platform to study the behavior of imitating human robots, helping people to bring objects into their daily lives E main research content is the target recognition and position recognition of the single vision mobile robot system, including the recognition and detection of color targets, camera calibration, monocular vision ranging, and robot mobile control strategy [4]. On the experimental platform of the NAO mobile robot, the target recognition and positioning of the mobile robot system based on monocular vision are realized. Based on the background of the above problems, this thesis conducts research on the target object recognition and positioning and robot grasping system on the NAO robot. Establish an integrated system based on the monocular vision detection system and the robot motion control system that can accurately realize the robot’s grasping tasks
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