Post
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Hi everyone,
I just published a new blog post from State16 about runtime integrity for Physical AI systems. The core question we explore is simple:
Can a predicted trajectory physically exist before it reaches the controller?
In many autonomous systems, a model can output a trajectory with a very high confidence score, but that trajectory may still violate basic physical constraints such as motion feasibility, velocity, acceleration, continuity, or interaction with the environment.
In our first paper and validation work, we tested this idea on LeRobot Push from Hugging Face. The goal is to detect physically inadmissible AI-generated behaviors before execution, especially in robotics and autonomous systems where a “confident” prediction is not enough.
Would be glad to get thoughts, feedback, and suggestions from the community.
Read here: https://huggingface.co/blog/barakor/can-predicted-dynamics-exist-in-the-physical-world
STATE16
I just published a new blog post from State16 about runtime integrity for Physical AI systems. The core question we explore is simple:
Can a predicted trajectory physically exist before it reaches the controller?
In many autonomous systems, a model can output a trajectory with a very high confidence score, but that trajectory may still violate basic physical constraints such as motion feasibility, velocity, acceleration, continuity, or interaction with the environment.
In our first paper and validation work, we tested this idea on LeRobot Push from Hugging Face. The goal is to detect physically inadmissible AI-generated behaviors before execution, especially in robotics and autonomous systems where a “confident” prediction is not enough.
Would be glad to get thoughts, feedback, and suggestions from the community.
Read here: https://huggingface.co/blog/barakor/can-predicted-dynamics-exist-in-the-physical-world