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Application of Sustainability Principles for Harsh Environment Exploration by Autonomous Robot

Author

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  • Romualdas Bausys

    (Department of Graphical Systems, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania)

  • Fausto Cavallaro

    (Department of Economics, University of Molise, Via De Sanctis, 86100 Campobasso, Italy)

  • Rokas Semenas

    (Department of Graphical Systems, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania)

Abstract

Currently, the European Union (EU) is focusing on a large-scale campaign dedicated to developing a competitive circular economy and expanding the single digital market. One of the main goals of this campaign is the implementation of the sustainability principles in the development and deployment cycle of the new generation technologies. This paper focuses on the fast-growing field of autonomous mobile robots and the harsh environment exploration problem. Currently, most state-of-the-art navigation methods are utilising the idea of evaluating candidate observation locations by combining different task-related criteria. However, these map building solutions are often designed for operating in near-perfect environments, neglecting such factors as the danger to the robot. In this paper, a new strategy that aims to address the safety and re-usability of the autonomous mobile agent by implementing the economic sustainability principles is proposed. A novel multi-criteria decision-making method of Weighted Aggregated Sum Product Assessment—Single-Valued Neutrosophic Sets, namely WASPAS-SVNS, and the weight selection method of Step-Wise Weights Assessment Ratio Analysis (SWARA) are applied to model a dynamic decision-making system. The experimental evaluation of the proposed strategy shows that increased survivability of the autonomous agent can be observed. Compared to the greedy baseline strategy, the proposed method forms the movement path which orients the autonomous agent away from dangerous obstacles.

Suggested Citation

  • Romualdas Bausys & Fausto Cavallaro & Rokas Semenas, 2019. "Application of Sustainability Principles for Harsh Environment Exploration by Autonomous Robot," Sustainability, MDPI, vol. 11(9), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2518-:d:227352
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    References listed on IDEAS

    as
    1. Cavallaro, Fausto & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Mardani, Abbas, 2019. "Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 258-270.
    2. Edmundas Kazimieras Zavadskas & Romualdas Baušys & Marius Lazauskas, 2015. "Sustainable Assessment of Alternative Sites for the Construction of a Waste Incineration Plant by Applying WASPAS Method with Single-Valued Neutrosophic Set," Sustainability, MDPI, vol. 7(12), pages 1-14, December.
    3. Zhuming Bi, 2011. "Revisiting System Paradigms from the Viewpoint of Manufacturing Sustainability," Sustainability, MDPI, vol. 3(9), pages 1-18, August.
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    Citations

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    Cited by:

    1. Zydrune Morkunaite & Romualdas Bausys & Edmundas Kazimieras Zavadskas, 2019. "Contractor Selection for Sgraffito Decoration of Cultural Heritage Buildings Using the WASPAS-SVNS Method," Sustainability, MDPI, vol. 11(22), pages 1-25, November.
    2. Zhen Liu & Jing Liu & Mohamed Osmani, 2021. "Integration of Digital Economy and Circular Economy: Current Status and Future Directions," Sustainability, MDPI, vol. 13(13), pages 1-27, June.
    3. Vítor Domingues Martinho & Paulo Reis Mourão, 2020. "Circular Economy and Economic Development in the European Union: A Review and Bibliometric Analysis," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    4. Anita Pollak & Małgorzata Dobrowolska & Anna Timofiejczuk & Mateusz Paliga, 2020. "The Effects of the Big Five Personality Traits on Stress among Robot Programming Students," Sustainability, MDPI, vol. 12(12), pages 1-11, June.
    5. Romualdas Bausys & Giruta Kazakeviciute-Januskeviciene & Fausto Cavallaro & Ana Usovaite, 2020. "Algorithm Selection for Edge Detection in Satellite Images by Neutrosophic WASPAS Method," Sustainability, MDPI, vol. 12(2), pages 1-24, January.
    6. Heidary Dahooie, Jalil & Mohammadi, Navid & Daim, Tugrul & Vanaki, Amir Salar & Zavadskas, Edmundas Kazimieras, 2021. "Matching of technological forecasting technique to a technology using fuzzy multi-attribute decision-making methods: Case study from the aerospace industry," Technology in Society, Elsevier, vol. 67(C).

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