AuraML Teams with NVIDIA to Launch India’s First Multimodal Robotics Simulation Platform

India’s physical AI ecosystem has reached a new milestone as AuraML announced a strategic partnership with NVIDIA to launch AuraSim — India’s first multimodal world simulation platform designed specifically for robotics development.

The collaboration positions AuraML at the forefront of generative AI for physical systems, introducing high-fidelity, physics-ready simulation environments that significantly reduce the time and cost required to build and deploy real-world robotics solutions.

Introducing AuraSim: A Multimodal World Simulation Model

AuraSim is an advanced multimodal simulation platform capable of generating complex 3D robotics environments using diverse inputs such as text descriptions, architectural floorplans, video walkthroughs, depth maps, and point clouds.

Unlike traditional robotics simulators that require manual world-building, AuraSim automates environment generation and produces physics-ready outputs with accurate collision boundaries and material properties.

Built on NVIDIA Omniverse and NVIDIA Isaac Sim, and powered by NVIDIA Cosmos world foundation models, AuraSim delivers real-time, photorealistic simulation environments optimized for robotics training and deployment.

Bridging the Digital and Physical Worlds

Robotics development often suffers from a gap between digital simulations and real-world performance. AuraSim addresses this challenge by ensuring that simulated environments closely mirror physical constraints and dynamic behaviors.

The platform integrates agentic automation into its workflow, enabling AI-driven agents to generate and execute thousands of scenario variations automatically. Developers can stress-test robotics systems by simply modifying a text prompt, creating complex edge-case scenarios in minutes.

This capability transforms simulation from a static design process into a dynamic, AI-powered experimentation pipeline.

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Use Case: Orchestrating the “Dark Factory”

AuraSim’s impact is particularly evident in industrial automation. Using a single factory floorplan and limited visual inputs, the platform can generate a complete digital twin of an operational facility.

Within this environment, multiple robotic systems can be simulated simultaneously:

• Humanoid robots performing dexterous assembly tasks.
• Autonomous Mobile Robots (AMRs) handling logistics and material transport.
• Stationary robotic arms executing high-speed precision operations.

Developers can validate collision-free synchronization, optimize workflows, and test system-wide coordination before deploying physical robots — dramatically reducing capital risk.

Supercharged by NVIDIA Technology

AuraML built its platform using NVIDIA’s accelerated computing ecosystem. NVIDIA Omniverse enables collaborative 3D world creation, while NVIDIA Isaac Sim provides robotics-specific simulation tools for digital twins and physical AI.

Through participation in the NVIDIA Inception program, AuraML gains access to technical mentorship, GPU infrastructure, and scaling resources — strengthening its global competitiveness.

Global Physical AI & Robotics Cohort

To accelerate adoption of its World Simulation Model, AuraML is launching the Global Physical AI & Robotics Cohort in collaboration with NVIDIA. This intensive eight-week program is designed for robotics engineers, AI researchers, and developers.

The cohort offers mentorship-driven training focused on building, simulating, and deploying real-world physical AI systems using AuraSim. With limited seats, the program aims to cultivate advanced robotics talent capable of competing globally.

Powering the Future of Robotics Foundation Models

The AuraML–NVIDIA partnership marks a major advancement in physical AI infrastructure. By combining multimodal generative AI, real-time physics simulation, and accelerated computing, AuraSim enables robotics companies to move from concept to deployment at unprecedented speed.

As India strengthens its position in embodied AI and robotics innovation, platforms like AuraSim are poised to become foundational infrastructure for next-generation robotics foundation models worldwide.