Simplification of Robotic System Model Analysis by Petri Net Meta-Model Property Transfer (2407.06454v4)

Abstract: This paper presents a simplification of robotic system model analysis due to the transfer of Robotic System Hierarchical Petri Net (RSHPN) meta-model properties onto the model of a designed system. Key contributions include: 1) analysis of RSHPN meta-model properties; 2) decomposition of RSHPN analysis into analysis of individual Petri nets, thus the reduction of state space explosion; and 3) transfer of RSHPN meta-model properties onto the produced models, hence elimination of the need for full re-analysis of the RSHPN model when creating new robotic systems. Only task-dependent parts of the model need to be analysed. This approach streamlines the analysis thus reducing the design time. Moreover, it produces a specification which is a solid foundation for the implementation of the system. The obtained results highlight the potential of Petri nets as a valuable formal framework for analysing robotic system properties.