LATIDIA · Robótica

COLUMNA VERTEBRAL: Cerrando la brecha ciberfísica con la IA genética

arXiv: 2607.13049v2Anuncio Tipo: reemplazar-cruz Resumen: Los modelos de cimentación brindan a los robots un poderoso razonamiento de alto nivel, pero convertir esa inteligencia en una acción física confiable sigue siendo difícil: los robotistas aún deben

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arXiv:2607.13049v2 Announce Type: replace-cross Abstract: Foundation models give robots powerful high-level reasoning, yet turning that intelligence into reliable physical action remains difficult: roboticists must still align device drivers, network interfaces, sensors, controllers, and safety constraints for each platform. This often-overlooked integration layer acts as the robot's spinal cord, translating high-level intent into coordinated physical behavior, and remains a primary bottleneck for scalable Embodied AI. Hence, we propose SPINE (Scalable Physical Integration with ageNtic Expertise), an agentic framework for systematically debugging and deploying bimanual robots for teleoperation. SPINE centers on two subagent-driven workflows: a profile builder that compiles robot-specific context and a debugger that uses that context to iterate through diagnosis,