Originally published at: Beyond VLAs: How World Action Models Reshape Robot Manipulation | NVIDIA Technical Blog
A central challenge in robotics is building policies that generalize beyond the demonstrations they’re trained on. A policy that succeeds in a training scene often fails when object shapes, positions, or lighting change. Generalizing to these new conditions requires the policy to understand the tasks underlying physics, not just mimic the demonstrations. This ability comes…