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rlebench

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@rlebench

Joined September 2026
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rlebench Verified account @rlebench
GPT-6 Astra is impressive, but agentic robotics β‰  just control.

Physical agents should control robots, learn new skills, and design their own hardware.

So we introduce RLE-Bench: 48 everyday robotics engineering tasks spanning closed-loop control, policy learning, perception, and mechanical design.
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rlebench Verified account @rlebench
πŸš€ The RLE-Bench leaderboard finally has a new #1!

Claude Fable 5.2 takes the top spot πŸ†, leading 5 out of 9 robot learning engineering tasks! πŸ€–

Curious how frontier coding agents perform in robotics?

Come chat with us at the #CoRL2026 Agentic Robotics Workshop TODAY!

πŸ“ JW Marriott Austin, Rooms 203–204
πŸ•“ Poster session: 4:20–5:55 PM CT

πŸ”— rle-bench.github.io
rlebench Verified account @rlebench
πŸŽ‰ Excited to share that RLE-Bench has been accepted to the Workshop on Agentic Robotics at CoRL 2026!

πŸ“ Austin, TX | πŸ“… November 12, 2026

@haitongma5426 and @chenxiaogao will be at CoRL to present! Come say hi and chat about AI agents for robotics! πŸ€–

πŸ”— rle-bench.github.io

#CoRL2026 #rlebench
rle-bench.github.io RLE-Bench | Robot Learning Engineering A qualifying exam for coding agents as robot learning engineers. Explore the benchmark, task-level rankings, and evaluation costs.
rlebench Verified account @rlebench
πŸš€ Open-weight models are catching up fast in robotics!

Kimi K3.1 Pro just landed at #7 overall and #1 among open-weight models we tested on RLE-Bench!

This is another exciting milestone for open-weight AI. The gap between open and proprietary frontier models is narrowing on complex robotics tasks that require physical reasoning and experimentation. Exciting to see more capable agents becoming accessible to the broader robotics research community.

πŸ”— Full leaderboard: rle-bench.github.io

#RLEBench #Robotics #OpenSource #Kimi #EmbodiedAI
rlebench Verified account @rlebench
πŸš€ Gemini 4 Argon takes #1 on 4 robotics tasks in RLE-Bench!

The latest Gemini 4 Argon results are in: 72.4 RLE Index, ranking #2 overall, just behind GPT-6 Astra (73.4).

More impressively, Gemini 4 Argon takes the top spot on 4 out of 9 tasks:

* Harness Engineering
* Embodied Reasoning
* Whole-Body Motion Tracking
* NanoVLA Recipe

It’s exciting to see frontier AI labs continuing to invest in robotics capabilities, with each new generation pushing the boundaries of what general-purpose AI agents can accomplish in embodied and physical-world tasks.

The competition is getting closer, and the progress is accelerating.

Looking forward to the Carbon! πŸ‘€

Explore the full leaderboard: rle-bench.github.io

#Robotics #EmbodiedAI #RLEBench #Gemini4