Original scientific paper

https://doi.org/10.21278/TOF.44302

Identifying and Prioritising Future Robot Control Research with Multi-Criteria Decision-Making

Rahmath Ulla Baig ; Industrial Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia
Shaik Dawood orcid.org/0000-0001-8902-2756 ; Industrial Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia
Mohamed Mansour orcid.org/0000-0002-4794-1399 ; Industrial Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia; 4Industrial Engineering Department, College of Engineering, Zagazig University, Zagazig, EL-Sharkia, Egypt
Tarik Tawfeek ; 5Mechanical Engineering Department, College of Engineering, Benha university, Shoubra, Egypt

Abstract

The gap between researchers who carry out scientific exploration and practitioners who can make use of the research results is well known. In addition, while practitioners place a high value on research, they do not read many research papers. This paper attempts to define and prioritise future research in robotics using the analytical hierarchy process (AHP). Fifteen research alternatives and gaps, five performance criteria, eight industry types, and six production processes, investigated by both academics and practitioners, are filtered to six alternatives, four performance criteria, three industry types, and three production processes, respectively, based on the most important factors in decision-making. Subsequently, they are analysed by the Expert Choice software. This research aims at bridging the gap between academics and practitioners in robotics research and at conducting research that is relevant to industry. The results indicate that the research in multi-robot control ranked first with 26.8%, followed by the research in safe control with 23.3% and the research in remote robot supervision with 19.0%. The research in force control ranked fourth with 17.8%, followed by the research in 3D vision and wireless communication with 8.4% and 6.4%, respectively. Based on the results, the academics involved in robotics research should direct their effort to the research activities that received the highest priority in the AHP model.

Keywords

future research in robotics; multi-criteria decision-making; analytical hierarchy process; qualitative analysis

Hrčak ID:

244900

URI

https://hrcak.srce.hr/244900

Publication date:

29.10.2020.

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