Omar Rayyan (@omarrayyann) / X

Omar Rayyan

118 posts

Omar Rayyan

@omarrayyann

SR @GoogleDeepMind, PhD @UCLA

Joined June 2014

Pinned
Omar Rayyan
@omarrayyann
Feb 11
MolmoSpaces provides singular scale and diversity. We built a benchmark that puts that scale to use. MolmoSpaces-Bench evaluates zero-shot policies across thousands of environments previously unseen to them under systematic variation, providing insights that go beyond a success
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Ai2
@allen_ai
Feb 11
Introducing MolmoSpaces, a large-scale, fully open platform + benchmark for embodied AI research. 🤖 230k+ indoor scenes, 130k+ object models, & 42M annotated robotic grasps—all in one ecosystem.
Omar Rayyan
@omarrayyann
Jun 9
Wall-OSS is now the #1 policy on the zero-shot MolmoSpaces evals. A lot of details in their paper, I recommend checking it out.
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X Square Robot
@XSquareRobot
May 28
We are open-sourcing Wall-OSS-0.5. Pretrain Once, Act Anywhere. Wall-OSS-0.5 is a VLA model for real-world robotic manipulation, exploring whether pretraining alone can produce robot capabilities directly testable on physical hardware before task-specific fine-tuning.
Omar Rayyan
@omarrayyann
Mar 11
Check out our MolmoBot release and the open-sourced foundational models trained entirely in simulated MolmoSpaces homes!
Ai2
@allen_ai
Mar 11
Today, a step forward in open robotics - our results show that sim-to-real zero shot transfer for manipulation is possible. MolmoBot is our open model suite for robotics, trained entirely in simulation on MolmoSpaces.🧵
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Omar Rayyan
@omarrayyann
Feb 28
MolmoSpaces-Bench leaderboard is now live! Test your generalist policies to see how they compare across tasks and environments. Feel free to reach out if you need help setting it up. molmospaces.allen.ai/leaderboard
Omar Rayyan
@omarrayyann
Feb 14
MolmoSpaces also comes with 42M+ grasps that cover 48K+ objects across 250K+ scenes, allowing large-scale functional trajectory generation in MuJoCo and IsaacSim.
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