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# NVIDIA Research Advances Robotics From Simulation to the Real World

**[NVIDIA](https://daily.dev/sources/nvidia)** · 8 min read · 0 upvotes · 0 comments

## Summary

NVIDIA Research presented eight papers at ICRA 2025 advancing simulation-to-real transfer in robotics. Key contributions include: ScheduleStream (3x speedup for multi-arm GPU-parallel planning), COMPASS (4.5x navigation success improvement across robot embodiments with 80% real-world transfer), Grasp-MPC (75% grasping success vs 41% baseline on novel objects), SPARR (38% assembly success improvement with self-correcting sim-to-real adaptation), Refinery (91% multi-step assembly success), PEEK (up to 41x real-world accuracy improvement via vision-language scene filtering), and SEAL (15% accuracy gains for instruction-following consistency). All systems train in simulation using NVIDIA Isaac Lab and transfer to real hardware. NVIDIA also announced the Physical AI Dataset surpassing 15 million downloads.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blogs.nvidia.com/blog/icra-research-robotics-simulation-to-real-world>

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---

Tags: [#robotics](https://daily.dev/tags/robotics), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning), [#vlm](https://daily.dev/tags/vlm)

[View this post on daily.dev](https://daily.dev/posts/nvidia-research-advances-robotics-from-simulation-to-the-real-world-gi32v6rru)

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