Author(s):
1. Ivan Ćirić, Faculty of Mechanical Engineering in Niš, Serbia
2. Žarko Ćojbašić, Faculty of Mechanical Engineering in Niš, Serbia
3. Vlastimir Nikolic, Faculty of Mechanical Engineering in Niš, Serbia
4. Milica Ćirić, Faculty of Civil Engineering and Architecture in Niš, Serbia
5. Predrag Živković, Faculty of Mechanical Engineering in Niš, Serbia
6. Ivan Pavlović, Faculty of Mechanical Engineering in Niš, Serbia
7. Emina Petrovic, Faculty of Mechanical Engineering in Niš, Serbia

Abstract:
In this paper, the problem of robot vision system is considered as a part of hierarchically highest level of control that is used for object recognition and that allows adequate and reliable robotic grasping. Thus, the application of an intelligent classifier is proposed in the object recognition process for an advanced and robust robot vision system. This novel technique allows 3D object reconstruction with accurate determination of position and orientation of a rigid body that can help in deciding where to grasp object with a robot arm. Classification is performed using features obtained from segmented image after pre-processing, image segmentation and post-processing. Such an image combined with classification results enables accurate 3D object reconstruction that is crucial for grasping problem.

Key words:
Robot vision,Intelligent algorithms,Classification,Object recognition

Thematic field:
Mechatronics and Information Technology

Date of abstract submission:
02.03.2015.

Conference:
12th International conference on accomplishments in Electrical and Mechanical Engineering and Information Technology (DEMI 2015)

Final paper