ASCII rendering of visual states enables fine-tuned text-only LLMs to serve as VLA controllers that identify objects and generate feasible action sequences in 2D manipulation benchmarks in simulation and on hardware.
Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications,
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Non-model gains via inference, systems, and assets can drive AI capabilities independently of base models, requiring governance beyond model-level evaluation and mitigation.
Physical admissibility is defined as a prediction-control interface using kinematic, dynamic, and composed-horizon conditions to reject invalid dynamics proposals, with AUC 0.957 on LeRobot PushT and 87-89% prevention of invalid actions in interventions.
citing papers explorer
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ASCII Art Turns LLMs into VLA Controllers
ASCII rendering of visual states enables fine-tuned text-only LLMs to serve as VLA controllers that identify objects and generate feasible action sequences in 2D manipulation benchmarks in simulation and on hardware.
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Comprehensive AI governance requires addressing non-model gains
Non-model gains via inference, systems, and assets can drive AI capabilities independently of base models, requiring governance beyond model-level evaluation and mitigation.
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Can Predicted Dynamics Exist in the Physical World?
Physical admissibility is defined as a prediction-control interface using kinematic, dynamic, and composed-horizon conditions to reject invalid dynamics proposals, with AUC 0.957 on LeRobot PushT and 87-89% prevention of invalid actions in interventions.