One Robot World Models
Product
Realistic simulation environments for training and evaluating robot policies at scale.
- Currently Offered
Realistic simulation environments for training and evaluating robot policies at scale.
One Robot World Models is the simulation offering from One Robot, a San Francisco robotics company. It provides visually and physically realistic environments in which teams train and evaluate robot policies without being bottlenecked by access to physical robots.
The environments support running more experiments and more edge cases than real-world collection allows, which helps teams find failure modes faster and iterate on action policies for workloads such as material handling and manufacturing assembly. The offering targets robotics teams whose model improvement is limited by real-world data collection and robot availability.
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A robot foundation model that powers automation tools deployed directly on manufacturing floors.
Open-source physics engine built on NVIDIA Warp and OpenUSD for robot-learning simulation.
Gazebo Sim is an open-source 3D robotics simulator for algorithm development and testing.
Omniverse NuRec reconstructs sensor recordings into interactive three-dimensional scenes for robotics and autonomous-driving simulation.
PD Replica reconstructs real locations from imagery for training and testing machine perception systems.
Foundation models and AI agents for spatial-temporal reasoning in virtual and physical environments.
Genie 3 is a DeepMind world model that turns text prompts into photorealistic, real-time explorable 3D environments.
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