Open-Source Advances Accelerate Robot Learning, NVIDIA Drives Momentum with OpenUSD and Isaac Sim
SANTA CLARA, CA – A surge in open-source tools and technologies is dramatically accelerating development in robotics, with NVIDIA playing a key role through its Isaac Sim platform and commitment to OpenUSD. these advancements are enabling faster, more efficient creation and deployment of robotic systems, impacting industries from manufacturing to logistics.
The convergence of open-source physics engines and the OpenUSD standard is streamlining the traditionally complex process of building and testing robots. Developers can now create “digital twins” - virtual replicas of physical robots and their environments – to build, train, and validate applications before real-world deployment. This reduces development time, lowers costs, and improves the reliability of robotic systems. volkswagen, for example, is leveraging Wandelbots NOVA, a robotics platform deeply integrated with Isaac Sim, to shorten automation projects at its Dresden Transparent factory.
NVIDIA’s Isaac Sim and isaac Lab are at the forefront of this movement, providing developers with powerful tools for robotics navigation, control, and reinforcement learning. The company’s open frameworks and libraries are gaining traction within the robotics community,exemplified by community member Dylan Tobin’s creation of an AI chatbot trained on Isaac Sim workflows to aid developers navigating the Omniverse platform.
Further bolstering accessibility, NVIDIA is working with companies like Brev to simplify running Isaac Sim and Isaac Lab on Omniverse.Developers can stay updated on these advancements by subscribing to NVIDIA Omniverse news, joining the Omniverse community, and following its social media channels on Discord, Instagram, LinkedIn, Threads, X, and YouTube. Resources are also available through the Alliance for OpenUSD forum and AOUSD website.
