Follow your favourite podcasts, listen offline and in the car with CarPlay and Android Auto, and always pick up where you left off. Free to try.
A 6B-parameter world-action model that jointly predicts 3D pointmaps and DINO features alongside RGB frames, improving demonstration efficiency, generalization, and long-horizon task performance in robotics. Integrating structured 3D world predictions into the action loop represents a meaningful advance in robot foundation model design.
In this episode of Embodied AI 101, we explore "Flex-π: Teach Geometry, Choose How Much to Imagine". We break down the research, methodology, and real-world implications for robotics, AI, and physical intelligence.
Embodied AI 101 covers the latest research at the intersection of AI and physical intelligence — robotics, manipulation, world models, and the path from digital intelligence to embodied agents.
