Foundation Models
Instruction Following
Instruction following is the capability of a robot to execute tasks specified in natural language, requiring the system to ground words in perception and action. Language-conditioned policies such as RT-1 and RT-2 map instructions directly to motor commands, planners like SayCan decompose instructions into affordance-weighted skills, and benchmarks such as CALVIN evaluate long-horizon language-conditioned manipulation.
Why it matters for physical AI
Natural language is the interface that lets non-experts retask robots on the fly, and instruction-following generalization is the headline capability distinguishing robot foundation models from single-task policies.
Build physical AI
Put these concepts to work on real hardware
Axol is a dual-arm robot built for physical AI — teleoperate it, collect demonstrations, and deploy learned policies out of the box.