Novak Zagradjanin1,*, Dragan Pamucar2, Kosta Jovanovic1, Nikola Knezevic1, Bojan Pavkovic3
Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1369-1386, 2022, DOI:10.32604/iasc.2022.021979
Abstract An autonomous robot is often in a situation to perform tasks or missions in an initially unknown environment. A logical approach to doing this implies discovering the environment by the incremental principle defined by the applied exploration strategy. A large number of exploration strategies apply the technique of selecting the next robot position between candidate locations on the frontier between the unknown and the known parts of the environment using the function that combines different criteria. The exploration strategies based on Multi-Criteria Decision-Making (MCDM) using the standard SAW, COPRAS and TOPSIS methods are presented in the paper. Their performances are… More >
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