Abstract
In the field of robotics, it is always a big challenge for the visual recognition and operation of target objects in complex state, such as target objects in dead corner and surrounded by other targets. In this paper, V-REP and MATLAB are used for joint simulation to conduct experiments on the robot scene. For the target object in a complex state, the RGBD camera is used to record the image and determine the target range, and introduce sub-pixel Harris corner detection to establish the grasping surface and center point coordinates, to make the robot under complex condition can more accurately for corresponding operation.
Highlights
In the field of robotics, machine vision technology has very strong technical advantages in target recognition and target pose determination
For some complex conditions, such as the target being in a closed environment or partially obscured by other objects, it often brings greater difficulty for machine vision recognition and robots to implement corresponding automatic operations
Co-simulation can use the powerful computing power of MATLAB, and make the three-dimensional scene graph vividly displayed in V-REP [2]
Summary
In the field of robotics, machine vision technology has very strong technical advantages in target recognition and target pose determination. It has the characteristics of large amount of information, high accuracy, noncontact measurement, and fast response [1], and has been widely used in robots Application in various fields. For some complex conditions, such as the target being in a closed environment or partially obscured by other objects, it often brings greater difficulty for machine vision recognition and robots to implement corresponding automatic operations. We use V-REP and MATLAB software[2] to visually recognize and process the target objects in the scene
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