Lightwheel

Founded 2023

Train and evaluate robotic systems using simulated environments and human demonstration data

Pricing model

Demo

You can use Lightwheel to train and test embodied AI models for robotics. It provides physically accurate 3D assets and virtual scenes to build environments for robot simulation. With the EgoSuite feature, you can access egocentric human demonstrations that show robots how to complete physical actions. The RoboFinals testing framework lets you benchmark vision-language-action models and world models against rigorous virtual tasks. By combining 3D scene libraries, human behavior datasets, and standardized evaluation benchmarks, it prepares robotic systems for physical deployment.

What Lightwheel does

Generate synthetic demonstration data for robotic armsImport physically accurate 3D assets into simulationCapture egocentric human movement for robot imitation learningBenchmark vision-language-action model accuracyTest robot policies across varying simulated environmentsEvaluate world model predictions against simulated physicsSimReady asset library containing physically accurate 3D scenesEgoSuite system for collecting egocentric human demonstrationsRoboFinals virtual benchmark to test vision-language-action modelsMultimodal behavior dataset generation from simulated worldsStandardized evaluation testing to remove robot pretraining bottlenecksEnterprise infrastructure unifying simulation assets, data, and evaluation