Design and Application of Indoor Tactical Assistance Robots Based on Budget Control

Indoor tactical assistance robots play a pivotal role in enhancing safety and efficiency in law enforcement operations conducted indoors, yet their development and deployment face significant challenges in cost control and securing funding. This paper utilizes game theory principles to construct a tripartite dynamic game model involving robot users, procurers, and producers. By analyzing payoff functions, strategy selections, and equilibrium outcomes, this study aims to provide insights into optimizing the development and application of these robots. Through rigorous analysis, it seeks to address critical issues such as cost management, resource allocation, and stakeholder coordination, ultimately contributing to the advancement of indoor tactical assistance robot technology in law enforcement.