An Extensible Intelligent Simulation System for Robot Path Planning in Wireless Sensor Networks

Optimizing robot trajectories in dynamic and complex environments remains a significant challenge, particularly within wireless sensor networks (WSNs), where many existing simulation tools rely on predefined and inflexible scenarios. This paper presents an extensible graphical user interface (GUI)–based simulation system that integrates robot animation and scenario generation within a unified framework. The proposed system adopts a modular, plugin-based architecture that enables the seamless incorporation of diverse path-planning and trajectory optimization models without modifying the core infrastructure. In addition, an intelligent path-planning approach based on a Genetic Algorithm enhanced with Bézier curve modeling is integrated to support smooth and collision-free robot navigation in dynamic environments. Experimental evaluation demonstrates that the proposed framework provides an effective, scalable, and adaptable platform for conducting reproducible robot trajectory simulations in both research-oriented and practical applications. Overall, the proposed GUI-based and modular simulation framework provides a flexible, extensible, and reproducible platform for evaluating intelligent robot trajectory planning in dynamic WSN environments.