Robot data and foundation models
Enough physical experience to train general robot policies.
capabilityEmerging Open on the map →
Facts
- Lane
- Physical world
- Wave
- 2 of 12 (build order, not a date)
- Needs
- 1 boxes all the way back through hard links
- Unlocks
- 11 boxes downstream through hard links
- Leverage
- 1.7 points · stands in the way of 7 of 53 stages · rank 6 of 57
- Cluster
- Robots and the physical economy
Evidence as of October 2026
π0.5 tidies homes it never saw in training, though not always at the first try. Video is plentiful, but robots lack data linking joint movements to outcomes: "we don’t have data for that", says Vincent Sitzmann. A 2025 CMU thesis explores three ways to scale it: simulation, cheap teleoperation and human data gathered in the wild.
Around it
Brakes
Works against this box
Loops and off-ramps
Openings researchers' judgement, October 2026 scouting
Startup room 37/100 · rank 78 of 124 Research room 66/100 · rank 10 of 124
- Depth
- deep
- Players
- Skild (~$1.4bn, $14bn+); Physical Intelligence ($600m B, $5.6bn); Generalist ($3bn); NVIDIA GR00T; DeepMind
- Wedge
- Not another robot brain: real-world evaluation-as-a-service and data curation tooling that scores which trajectories improve a policy, on open GR00T and pi0 weights. startup