At IBRobotics, we believe the future of robotics goes beyond motion and control — it is about understanding.
With ADT3, we are exploring how digital twins combined with large language models (LLMs) can become a shared knowledge space for robots: a place where quadrupeds, wheeled robots, manipulators, drones, and humanoids can not only read their environment but reason about it, ask meaningful questions, and infer abstract decisions from the information embedded in their twin.
Our vision is clear: by linking robots to intelligent digital twins, we enable them to plan, adapt, and collaborate more effectively — moving closer to a world where robots can truly think about what they do, not just execute instructions.
ADT3 is not just an integration of AI into industrial workflows — it is a step toward a new generation of autonomous systems that understand their own operational context and can make better, safer, and more informed decisions.
We have joined a consortium led by Plain Concepts, alongside companies like MS2E and organizations such as Smart City Cluster and OnTech Innovation, contributing our expertise in enabling interaction with digital twins through LLMs.