SafeLIBERO
VLA policies run 16 LIBERO tasks with an added obstacle at two levels, near the target or in the path. 50 episodes per scenario. Scored by collision avoidance and task success.
Introduced with the AEGIS safety layer and released December 20th, 2025. At least five 2026 papers report it, often with different metrics or dropped tasks, so scores rarely line up.
- Released
- December 2025
- Kind
- Simulated robots
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- All public
- Last model added
- April 2025
- Scores refreshed
- November 12th, 2026
AEGIS tops the leaderboard with 68.1%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is π0.5, at 57.8%.
- 1 AEGIS translational action space 68.1%
- 2 π0.5 full action space 57.8%
- 3
OpenVLA-OFT full action space 26.2%
Source: Official SafeLIBERO leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | AEGIS | 68.1% | translational action space | Official leaderboard | |
| 2 | π0.5 | 57.8% | full action space | Apr 2025 | Official leaderboard |
| 3 | | 26.2% | full action space | Feb 2025 | Official leaderboard |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official SafeLIBERO leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official SafeLIBERO leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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