Simple World Lab is the foundation model research team at SimpleAI. We build intelligent systems that learn from and act in the physical world, with a focus on robotic agents, embodied pre-training, and real-robot learning.
Our vision: Make the World Simple — Build the Foundation Model for the Physical World.
Research
- Robotic Agents — reliable, long-horizon execution in real environments.
- Embodied Pre-training — scalable learning from diverse interaction data.
- Real-Robot Learning — continuous improvement through physical deployment.