A Generative Partially Specified Finite State Machine Approach to Complex Behaviour Planning

arXiv:2607.15674v1 Announce Type: new Abstract: Autonomous robots operating in dynamic environments require behaviour planning systems that combine reactivity, interpretability, and adaptability. While Large Language Models have been successfully integrated with Behaviour Trees for dynamic replanning, Finite State Machines, despite their widespread adoption and computational efficiency, remain unexplored for generative approaches. We propose a Generative Partially Specified Finite State Machine ...