Designing and implementing a large-scale digital twin that's comprised of thousands of kilometers of railway tracks, manifold infrastructure elements, and their direct neighborhood can be challenging. We'll show how we're tackling this challenge step-by-step, starting from exporting the HD map data we acquired from measurement drives to Omniverse down to the perception tasks inside the digital twin environment. In the end, we generate highly accurate synthetic data from Omniverse for arbitrary scenarios that are close to the ones gathered from real-world train operations, such as our Sensors4Rail project. We'll focus on specific challenges that arose when implementing train physics, such as train derailment or speed adjustment, as well as those we faced when implementing digital humans capable of autonomously walking on a train station.

The future smart factory is based on Industry5.0, which is adding concepts such as human-centric (helping workers with technology) and resilient (lead time reduction) to the extension of the 4th industrial revolution. Several key concepts are (1) multi-sourced data transmission, storage, and analysis; (2) individualized human-machine interaction; and (3) virtual space and object simulations. These future smart-factory concepts can be realized by a "metafactory" platform, driven by cloud and digital twin technology. For those who want to start a manufacturing business or upgrade a production line, this metafactory platform service will change the whole factory life cycle. Before building a real factory, a virtual factory is built and used for production optimization, control software virtual commissioning, and remote operation.

RIOS designs, tests, and implements advanced AI-powered robots-as-a-service (RaaS) work cells to enable the smart factory of the future. The extreme diversity in the manufacturing industry often means a one-size-fits-all solution doesn't exist in commodity robotics; instead, customers require bespoke hardware and software to solve their challenges. RIOS expeditiously co-develops industry-leading hardware and software to address these complex use cases, with clean sheet designs taking less than four months to pass acceptance testing at a customer site. Omniverse is a critical platform for reducing project risk, de-risking new work cell designs, and simplifying the development of complex robotic task execution. We'll highlight features of our internal Omniverse-based simulation and development platform to show how we quickly and efficiently deliver state-of-the-art robotics to our customers.