Human demonstrationLearn from single examples
A human operator shows the robot a task once; the system learns the core behavior from this demonstration.
Simulation scalingMillions of virtual training iterations
The learned behavior is transferred to a physics simulator where it runs millions of variations, learning generalizations without real-world data collection.
Real-world deploymentTransfer to physical robot
The trained policy is deployed on physical MenteeBot, which executes complex tasks autonomously in industrial settings.
Continuous improvementLearning from deployment
Real-world experience feeds back into the simulator, improving the learned models for future deployments.