Generative Adversarial Networks and semantics for resilient, flexible robotic production.
In GANResilRob, we explore the use of generative models for automatic robot program synthesis. The project aims to take advantage of the power of GANs to learn process knowledge in the domains of assembly and disassembly. GAN-based assembly plans are then mapped to semantic robot tasks and integrated into an intuitive robot programming SW suite. Alongside the research and engineering components of the project, we aim to design a „Robot-as-a-Service“ (RaaS) concept, which will provide tools for the manufacturing industry to trailor pre-trained generative models to their concrete use cases.