A Method for Autonomous Picking of Paper Reels
Meqdad H. M. Hasan
Meqdad Hamdan Mohammad Hasan, Department of Building Engineering, College of Architectural and Planning, Imam Abdulrahman Bin Faisal University (IAU), Dammam, Saudi Arabia.

Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 12306-12316 | Volume-8 Issue-4, November 2019. | Retrieval Number: D6999118419/2019©BEIESP | DOI: 10.35940/ijrte.D6999.118419

Open Access | Ethics and Policies | Cite  | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Although aspects of this research had been presented and demonstrated the first time in 2011, the ’autonomous picking of objects’ is still one of the hottest topics in this field. This research deals with the picking and handling of very large cylindrical objects such as paper reels or oil drums that are located inside industrial and commercial yards. It presents a new method for picking them autonomously according to their position, accessible direction, and surrounding barriers. Different terminology has been added to this research field. Three new algorithms; for picking a priority, for choosing the most appropriate direction for picking the target, and for choosing the safest path to reach the target without causing damage have been developed and implemented. The algorithms were tested successfully on simulation environment implemented using MATLAB and results taken from real experiments.
Keywords: Autonomous Picking, Material Handling, Robotics, Selection Priority, Unmanned Vehicles.
Scope of the Article: Autonomous Robots.