General-purpose computer-use agents can solve diverse embodied tasks without specialization, pointing toward a unified approach to embodied AI rather than task-specific models.
This paper shows that computer-use agents—AI systems trained to interact with software via screenshots and mouse/keyboard actions—can perform physical embodied tasks by rendering the environment on a screen.