In view of the developing model of economic globalization, robots have been given a considerable amount of attention by various manufacturing companies. These companies are facing a significant challenge due to handling uncertain events and meeting customers’ requirements. The notion of quality function deployment (QFD) strongly supports the companies in analyzing the customer’s requirements and in improving the quality of prod-ucts concerning customer’s requirements. To improve the effectiveness and applicability of QFD, we propose q-rung orthopair oriented and revised QFD. The proposed methodol-ogy first obtains the group decision-making evaluation matrix and then utilizes the hybrid weight decider method for merging the prior weights with the objective weights obtained from the evaluation matrix. To find the accurate score of each q-rung orthopair fuzzy set (q-ROFS), we devise a modified score function. Based on the modified score function, the robotic machine assembly design evaluation problem has been technologically dealt with and analyzed with a proper methodology.