Ola Electric introduces Ola Digital Twin platform integrated with NVIDIA Omniverse

Developers at Ola use Ola Digital Twin's generative AI capabilities and NVIDIA Omniverse APIs to generate synthetic assets.

Electric two-wheeler manufacturer Ola Electric today announced the launch of the Ola Digital Twin platform, developed on the NVIDIA Omniverse, to transform manufacturing processes and product development lifecycle.

The platform integrates Krutrim AI and NVIDIA technologies along with other advanced simulation tools and IoT platforms to create comprehensive digital twin environments that fast-track the planning of Ola Electric's manufacturing facilities and optimise equipment layouts, product development lifecycles, and the building of computer vision-based quality-inspection systems.

The platform also leverages physically accurate simulations and generative AI for tasks ranging from kinematics simulations to generating synthetic image data for training autonomous mobile robots (AMRs) and robotic arms, the company said in a regulatory filing.

Ola Electric said that it has leveraged Ola Digital Twin in its autonomous robotic weld lines at the Futurefactory, to simulate the welding processes and quality inspection systems, enabling virtual deployment and testing of changes before implementing them in the physical world.

Developers at Ola use Ola Digital Twin's generative AI capabilities and NVIDIA Omniverse application programming interfaces (APIs) to generate synthetic assets, including lighting, environmental scenes, objects and defects, which help accelerate perception AI model training from months to weeks. The platform also features thermal simulation capabilities for building next-generation OLA Krutrim data centers and liquid-cooling infrastructure.

Additionally, Ola Consumer is using NVIDIA Isaac Sim to train its robot pick-and-place applications for complex stock-keeping units in its automated dark stores, the company said, adding that the robots are trained in virtual simulations to handle complex operations in a dynamic, automated environment autonomously.