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Automating a factory where robots are involved is neither trivial nor cheap.Engineering the factory automation process in such a way that return ofinterest is maximized and risk for workers and equipment is minimized, is henceof paramount importance. Simulation can be a game changer in this scenario butrequires advanced programming skills that domain experts and industrialdesigners might not have. In this paper we present the preliminary design andimplementation of a general-purpose framework for creating and exploitingVirtual Environments via Natural language Agents (VEsNA). VEsNA takes advantageof agent-based technologies and natural language processing to enhance thedesign of virtual environments. The natural language input provided to VEsNA isunderstood by a chatbot and passed to a cognitive intelligent agent thatimplements the logic behind displacing objects in the virtual environment. Inthe VEsNA vision, the intelligent agent will be able to reason on thisdisplacement and on its compliance to legal and normative constraints. It willalso be able to implement what-if analysis and case-based reasoning. Objectspopulating the virtual environment will include active objects and willpopulate a dynamic simulation whose outcomes will be interpreted by thecognitive agent; explanations and suggestions will be passed back to the userby the chatbot.

Towards VEsNA, a Framework for Managing Virtual Environments via Natural Language Agents