This is already the present for SOTA robotics architecture
let me predict the future robotics architecture:View quoted post on X
> System 2:
LLM agents for long-horizon planning, task decomposition, tool/skill use, memory, and closed-loop replanning. mostly agentic harness + function calling.
> System 1:
A new hybrid VLA-WAM policy architecture. It will jointly model future world states + actions. MOT / dual-expert backbone. It will output action chunks or motion tokens.
> System 0:
A small (~10M to 100M) learned whole-body controller / tracking policy. it will convert sys 1 outputs into joint/torque commands w balance, contact, dynamics, and safety constraints. trained via RL + human motion priors.
