Abstract: To efficiently and accurately optimize product shape design, a product morphology optimization design model based on ant colony optimization was constructed. This involved sequentially establishing the node selection probability formula, contribution value update equation, and fitness function, and implementing the model using MATLAB. Taking the amphibious fire supply and drainage robot as an example, the product shape design was conducted. Based on 15 representative picture samples and 3 perceptual image vocabulary samples of the amphibious fire supply and drainage robot widely collected, the perceptual image evaluation scale was obtained under the guidance of sensory engineering theory, and then the representative picture sample form was analyzed and deconstructed. The data was imported into the MATLAB system and the formula was set, and the optimized solution shape combination was obtained and three-dimensionally presented according to the system calculation output. The designed scheme was analyzed and evaluated by virtual reality (VR) simulation experiment, and 11 effective experimental data were obtained. The results show that the evaluation mean scores of the optimization scheme 2 output by the model constructed in this article on reasonable, intelligent, and agile sensory imagery were 4.82, 4.91, and 4.91, respectively, significantly higher than the scores before optimization, which can better meet the sensory needs of users and verify the feasibility and practicality of the model constructed in this article for guiding product form optimization design.