Extension in bi-polar fuzzy set results in m-Polar fuzzy (mF) set. It is a methodology developed over the years since 2014. Integrated with various multi-criteria decision making (MCDM) techniques, several hybrid algorithms developed to improve the accuracy of the mF set algorithm used for decision making. Algorithms like mF TOPSIS and mF ELECTRE-I are widely used algorithms. In this paper, we aim to solve a selection of robots with the mF ELECTRE-I method. It is implemented in a stepwise manner and elaborated as an mF ELECTRE-I algorithm.  We have collected Robot selection data from a previously published research article. Results obtained using mF ELECTRE-I are compared and validated with the same research article. We found that the mF ELECTRE-I method is well resulted in getting the rank solution of robot selection. The rank obtained by mF ELECTRE-I is more consistent with the original research done for robot selection. Graphically presented results are with outranking relations. We can solve a wide range of industry problems starting from pole=1 to available subgroups to implement mF set techniques.