Industry 4.0, Intelligent Visual Assisted Picking Approach

Abstract

This work deals with a novel intelligent visual assisted picking task approach, for industrial manipulator robot. Intelligent searching object algorithm, around the working area, by RANSAC approach is proposed. After that, the image analysis uses the Sobel operator, to detect the objects configurations; and finally, the motion planning approach by Screw theory on SO(3), allows to pick up the selected object to move it, to a target place. Results and whole approach validation are discussed.

Publication
International Conference on Mining Intelligence and Knowledge Exploration
Cristian Camilo Beltran-Hernandez
Cristian Camilo Beltran-Hernandez
PhD Student Robotics & Artificial Intelligence

My research interests include reinforcement learning, robot manipulation and software development.