Programming robots for real-world success requires a training process that accounts for unpredictable conditions, different surfaces, variations in ob

Building Custom Robot Simulations with Wandelbots NOVA and NVIDIA Isaac Sim

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2024-11-09 00:30:04

Programming robots for real-world success requires a training process that accounts for unpredictable conditions, different surfaces, variations in object size, shape, texture, and more. Consequently, physically accurate simulations are vital for training AI-enabled robots before deployment.

Crafting physically accurate simulation requires advanced programming skills to fine-tune algorithms, enabling robots to be trained in lifelike digital twins and tested across a wide variety of what-if scenarios that they may encounter. But even when organizations are able to build physics-based simulations, they are often so complex that only highly skilled robotics developers can use them.

NVIDIA Inception partner and deep tech startup Wandelbots is making it easier for any roboticist to simulate robots in physics-based digital training environments, delivered through intuitive human-machine interfaces (HMI). Developers, system integrators, and automation engineers use Wandelbots to build their own application interface, connecting end users to the simulated environment. Factory planners can then interact with a robot cell on the shop floor and use the digital world to train the robot.

Wandelbots’ hardware-agnostic operating system, NOVA, seamlessly integrates with NVIDIA Isaac Sim, a robotics reference application built on top of NVIDIA Omniverse. Omniverse is a platform of APIs and SDKs for building workflows in Universal Scene Description (OpenUSD).