Industrial robots are essential in modern manufacturing technologies as they enable industrial firms to produce high-quality products at a reduced cost. Industrial robots are purpose-built for a diverse array of jobs, such as welding, painting, assembly, disassembly, and pick and place operations for printed circuit boards. The duties encompassed in this process include assembling boards, packaging and labeling products, palletizing them, doing product inspections, and performing tests. Exceptional durability, velocity, and precision are all obtained via the qualities. The efficacy of industrial robots is determined by multiple and conflicting elements that must be simultaneously taken into account in a comprehensive selection procedure. This paper presents an AHP and M-TOPSIS-based approach for the selection of robots. The objective of this technique is to choose an industrial robot that is specifically suited for the task of arc welding. The weights of significance are calculated by the use of objective preferences employing the Analytic Hierarchy Process (AHP) technique. The AHP M-TOPSIS technique has yielded the ranking order. The results clearly showed the considerable usefulness of MCDM techniques in the specific context of robot selection. The study is unique in its emphasis on prioritizing industrial arc welding robots utilizing AHP and M-TOPSIS MCDM techniques.