SO-101 Bench benchmarks language-conditioned spatial robot manipulation
A simulated twin matched the real arm's policy ranking exactly, though simulation overestimated success.
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Isaac Lab
- Mentions · 7d1
- Mentions · 30d2
- All mentions3
- First seenSep 10, 2026
- Last mentioned4d ago
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3 articles · newest firstA GPU-Parallel Framework for Heterogeneous Multi-Task Reinforcement Learning
Hebero and DGPO train one policy across 40 robot tasks, reaching 90.1% success with 50 demos.
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Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video
Skild AI launched its S1 robot foundation model, built on NVIDIA infrastructure, that learns long-horizon industrial tasks from a single video.
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