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#benchmarks

Embodied AI & Foundation ModelsDEEP DIVE

Gemini 4 Argon scores 87% on embodied reasoning but takes 52 minutes per real-arm task

Google made Gemini 4 Argon globally available on Oct 13 and grouped its robotics uses into robot control, Real2Sim, physical understanding, and research and self-improvement. Artificial Analysis's AA-Robotics v0.1 scored Argon 55.3 out of 100 driving a real arm on eight tabletop tasks, about 100 times slower than a person, while Physical Intelligence opened an API beta the same day for fine-tuning its π0 and π0.5 models on Pi's infrastructure.

4 min readSources verified
Embodied AI & Foundation ModelsDEEP DIVE

LoopWAM gains 19.7 points on real robots by retraining on its own labeled rollouts

LoopWAM is a closed-loop world-action model from Tsinghua University, Dexmal and Loopeva that scores every rollout by quality and gives failed trajectories video supervision but no action supervision. It ranks first on RoboChallenge's Table30-V2 at 43.33% success, 2.67 points over the VLA-DM0.5 entry in its own table and 0.33 points over the 43.0% Dexmal publishes for DM0.5.

5 min readSources verified