JNE Works has developed an AI knowledge-driven robot virtual commissioning platform for robot automatic programming.
An end-to-end automation solution in which AI understands the 'intent' of design (CAD) and combines accumulated manufacturing 'knowledge' to 'self' generate optimal processes and robot code.
Before operating the actual robot, we simulate various working scenarios in a virtual environment
Potential problems can be predicted and improved, and collision risk, work time prediction, and energy consumption analysis are possible.

By generating code based on verified facts from the knowledge graph, LLM dramatically reduces hallucinations that fabricate incorrect information.
AI agents leverage the structured context of the knowledge graph to design optimal robot processes and generate accurate robot control code.