The system was pre-trained on 1M hours of ego data to handle complex real-world workflows. In testing, the agent demonstrated the ability to recover from disruptions, such as reverting a washing machine to the correct cycle after a person manually changed settings and pushed the robot's hand away. The company describes the release as a combination of new semi-humanoid hardware and an agentic framework designed for ultra-long real-world workflows.
