"As robotic devices - including delivery and service bots as well as utilitarian drones - proliferate and develop increasing degrees of autonomy, managing fleets of robotics will become increasingly challenging and therefore important. Artificial intelligence (AI) will become a crucial component of these fleets and associated infrastructures. Management systems that enable navigation of robotic fleets and coordination among various types of robotics systems will become essential to drive automation and autonomous applications across industries, particularly in unstructured environments."
"At the beginning of 2025, the company released Mega for Omniverse Blueprint, a software product to "design, test and optimise a n ew generation of intelligence manufacturing data centres using digital twin s". The Nvida blueprint says Mega allows users to develop and improve "physical AI and robot fleets at scale in a digital twin before deployment into real-world facilities"."
"The system focuses on the use of fleets of robots - including humanoids, autonomous robots and robotic manipulators - for warehouse and factory applications. Digital twins provide a platform to decide on the placement of equipment, establish navigation paths, and foresee potential operational conflicts and issues before deploying changes to the physical warehouse and facilities. It also aims to enable engineers to simulate operations of robots, autonomous devices and other automated equipment within digital twins."
Robotic fleets comprising delivery bots, service robots and drones are proliferating and gaining autonomy, making fleet management and AI integration critical. Management systems must enable navigation, coordination and interoperability among diverse robotic systems, especially in unstructured environments. Digital twins and AI enable simulation, testing and optimization of robot operations at scale before physical deployment. Nvidia released Mega for Omniverse Blueprint to design, test and optimise intelligent manufacturing data centres and to develop physical AI and robot fleets within digital twins. Digital twins support equipment placement, navigation path planning, conflict detection and safe scenario testing to refine layout and workflow for warehouses and factories.
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