Planning and reasoning are fundamental areas of artificial intelligence that enable systems to make informed decisions, optimize complex processes, and plan sequences of actions to achieve specific goals. At VRAIN, our research in this domain spans from automated planning and scheduling algorithms to real-time optimization and business process automation.

Our planning systems address challenges in diverse domains including urban mobility simulation, software testing automation, resource allocation, and industrial process optimization. We have developed tools like SimFleet for simulation and evaluation of mobility models, TESTAR for automated software testing, and GREAT Process Modeller—a global reengineering environment with automatic transformations for business process optimization. Additional tools like UTool support planning and scheduling tasks across various application domains.

Through techniques ranging from classical planning algorithms to modern AI-based optimization methods, our work enables organizations to make better decisions, reduce operational costs, and adapt dynamically to changing environments.