Oxa, which provides autonomous vehicle software for industrial and commercial fleets, plans to use Nvidia Cosmos to accelerate industrial mobility automation (IMA), which it describes as a US$2tn market opportunity.
Since the Industrial Revolution, automation has increased productivity, reduced costs and fostered innovation. Enterprise software has fueled decades of business task automation, driving immense economic value. Now, physical AI is unlocking a new era: industrial mobility automation (IMA) – automating the billions of mobility tasks that businesses perform daily.
IMA is the automation of repetitive driving tasks by work vehicles, such as fixed-route shared passenger transportation, airport ground transportation (baggage, freight, passenger/crew), port and retail yard trailer/container shunting, asset monitoring, factory line parts logistics and hub-to-hub truck logistics. These tasks, currently performed by approximately 400 million work vehicles globally, are typically completed on uniform routes, and are place-specific, making them prime candidates for automation.
Oxa is using Nvidia’s Cosmos World Foundation Models (WFMs), including newly announced Cosmos Predict models, to enhance its own training tools, such as Oxa Sensor Expansion, which sit within its development toolchain, Oxa Foundry. Cosmos WFMs generate photoreal virtual world states as videos from multimodal inputs like text and images.
Through its collaboration with Nvidia, Oxa is able to generate vast amounts of diverse and realistic synthetic data, expediting the training and validation of its software while significantly accelerating the development and deployment of safe, reliable and efficient self-driving solutions.
Oxa’s end-to-end system development approach, powered by Oxa Foundry, embraces groundbreaking trends in ML/AI. It uses a novel Gen AI approach to train and assure its self-driving software, Oxa Driver, ‘hyperlocally’ on planned, uniform and repeatable routes – transforming it from a generalist into a specialist.
These Gen AI techniques enable the creation of representative and targeted ‘syllabuses’ for teaching and assuring Oxa Driver, with minimal and cost-effective source data requirements.
“By collaborating with Nvidia and harnessing its latest technologies, we are accelerating our ability to deliver safe, reliable and efficient autonomous solutions to customers today, addressing critical challenges such as driver shortages and productivity gaps,” said Gavin Jackson, CEO at Oxa. “The use of Cosmos for synthetic data generation combined with our own technologies will be instrumental in achieving our goals and unlocking the US$2tn industrial mobility automation market.”
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