Sensei + Nvidia Cosmos
World-scale simulation for physical AI.
Sensei leverages Nvidia Cosmos for world-scale simulation and physical AI world modeling, enabling robots to predict and understand complex environments before a single motion is commanded.
How COSMOS fits the Sensei stack
- RTX A6000 / L40S
Cosmos foundation models run on data-centre GPUs during the training loop.
- Jetson Orin AGX
Distilled Cosmos predictors run on-edge for live world-state inference.
- Cosmos Predict
World-state rollouts feed Sensei's pose planner with future-frame guidance.
- Cosmos Tokenizer
Compressed visual tokens streamed straight into the Sensei perception stack.
Predictive perception
Cosmos rollouts let Sensei anticipate occlusions before they happen.
Synthetic-first training
Cosmos-generated worlds remove the bottleneck of real-world data capture.
Edge-ready distillation
Distilled world models stay within the 30 ms Sensei latency budget.
Sensei + COSMOS in motion
World-model rollout — bin clutter
Occlusion prediction
Synthetic data factory
Bring Sensei + Nvidia Cosmos into your cell.
Talk to our solutions team for the technical integration spec and a tailored deployment plan.