Generative Adversarial Networks (GANS) and Robotics: Creating Realistic and Engaging Marketing Content

Abstract

GANs has been found as an efficient tool in the development of highly realistic and engaging marketing content that transforms brands' interactions with their customers. This review examines the synergy of GANs and robotics in marketing, with emphases laid on how GANs improve the conception of visual, textual, and interactive content designed by robots for the interaction with the customer. The paper considers the major developments of GAN technology up until 2021 that justify their use in robotic systems to provide vivid, customised marketing experiences. The benefits of GAN-based content generation in terms of realism, cost, and scalability are reviewed while hinting at the challenges posed by fake-ness, morality, and misuse. In sum, the paper reviewed and discussed the new possibilities that GANs open up when coupled with robotics in transforming the marketing landscape through case studies and examples from leading applications. Future directions for conducting research and application are also presented, hence proposing innovation both in GAN technology and in robotics to evoke more impactful strategies in marketing.