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Ai2 launches MolmoSpaces, an open simulation ecosystem and leaderboard for generalist robot policies

★★benchmarkAi2confidence: high

On 2026-02-11 the Allen Institute for AI released MolmoSpaces, an open ecosystem of 230,000+ indoor scenes, 130,000+ object models and 42M+ annotated 6-DoF grasps usable in MuJoCo, ManiSkill and Isaac Lab/Sim, together with MolmoSpaces-Bench and a public leaderboard. The leaderboard became one of the main places labs cite for robot-policy rankings; NVIDIA claimed No. 1 for GR00T N2 on MolmoSpaces and RoboArena at GTC 2026.

Key facts

What happened

Ai2 combined large-scale procedurally generated and curated 3D homes, object libraries and grasp annotations into one open robot-learning ecosystem with a standardized benchmark and leaderboard.

Why it matters

Robot learning lacked shared benchmarks like those language models have. MolmoSpaces (simulated) and RoboArena (real-world, crowd-sourced) have become the standard leaderboards cited in 2026 model launches. Because MolmoSpaces is simulation-only, how well it predicts real-world performance is still an open question.

Changelog

  • 2026-09-29: created

Related events

  1. NVIDIA GTC 2026 robotics: GR00T N2 world action model previewed, Cosmos 3 and GR00T N1.7 announced ★★★
  2. Ai2 releases MolmoAct 2, a fully open robot action-reasoning model that beats π0.5 on real-world tasks ★★
  3. RoboArena: crowd-sourced, double-blind real-world evaluation of generalist robot policies ★★

Sources (3)

id: 2026-02-11-ai2-molmospaces · updated 2026-09-29 · open in the interactive timeline