Robot middleware is the harness for Physical AI and should implement Projection, Isolation, and Transfer to enforce AI model outputs across control, computation, and communication.
RAI: A Flexible Agent Framework for Embodied AI
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The Semantic Autonomy Stack combines a seven-step parametric resolver handling 88% of instructions in under 0.1 ms with VLM escalation and a five-category cross-robot memory system, achieving 100% accuracy and 103,000-fold latency reduction on Raspberry Pi 5 robots with no GPU or training data.
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Harness Engineering for Physical AI: Robot Middleware Is the Harness Layer
Robot middleware is the harness for Physical AI and should implement Projection, Isolation, and Transfer to enforce AI model outputs across control, computation, and communication.
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A Semantic Autonomy Framework for VLM-Integrated Indoor Mobile Robots: Hybrid Deterministic Reasoning and Cross-Robot Adaptive Memory
The Semantic Autonomy Stack combines a seven-step parametric resolver handling 88% of instructions in under 0.1 ms with VLM escalation and a five-category cross-robot memory system, achieving 100% accuracy and 103,000-fold latency reduction on Raspberry Pi 5 robots with no GPU or training data.