Show HN: Virena, a minimal vision-language-action robot model you can read

Category: ai-ml

Tags: robot-learning, vision-language-action, imitation-learning, ablation-study, debugging-toolkit

Score: 7.0/10 (Innovation: 7, Technical: 7, Documentation: 8, Utility: 6)

VIRENA is a minimal vision-language-action robot model for pick-and-place tasks, implemented in ~2000 lines of Python and trainable on a laptop without a GPU. Its key innovation is a failure-diagnosis toolkit that distinguishes perception, control, or data issues, backed by a full ablation cookbook with confidence intervals. The project is notable for its focus on debugging methodology and practical insight over model complexity.

Target audience: robotics researchers, ML engineers, AI practitioners

Repository: https://github.com/BuceaGeorgia/VIRENA · Python · MIT

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