robotic systems

The integration of unmanned ground-based robotic systems into logistics and other automation-intensive sectors has notably expanded in recent years. Despite their increasing prevalence, the lack of a unified classification framework has complicated the systematic selection and deployment of these platforms. This research has been initiated to address this gap by developing the EPAM classification system, which incorporates Environment, Purpose, Autonomy, and Mobility as core multidimensional criteria.

This article is devoted to development of model, based on Petri nets, which corresponds planning stage of RTS automatic design. The model was developed according to the algorithm of the planning stage, which is the basic one in five-level representation of the robotization project estimation process, and enables to explore the dynamics of the process and the reliability of the corresponding component of the RTS design system, also providing the possibility of additional RTS correction in a broader functional and constructive spectrum.