E3S Web Conf.
Volume 233, 20212020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|Number of page(s)||4|
|Section||MEA2020-Mechanical Engineering and Automation|
|Published online||27 January 2021|
Visual recognition of robot targets in complex state based on sub-pixel Harris corner
Zhejiang University of Technology, Hangzhou, Zhejiang, China
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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