LATIDIA · Robótica

IA física proactiva a través de la observación continua y la intervención oportuna

arXiv:2610.16967v1 Announce Type: cross Resumen: La IA física se formula comúnmente en torno a una tarea explícitamente especificada: dado un objetivo o instrucción, un sistema percibe, razona y actúa. En muchos entornos del mundo real, h

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arXiv:2610.16967v1 Announce Type: cross Abstract: Physical AI is commonly formulated around an explicitly specified task: given a goal or instruction, a system perceives, reasons, and acts. In many real-world settings, however, important tasks emerge from continuously changing world states before a person explicitly formulates them. We study this complementary problem as Proactive Physical AI, where an AI system continuously observes the physical world, identifies situations that warrant intervention, and initiates appropriate actions at the right time. We develop ProAgent, an end-to-end system built around two components: a Jev-style proactive timing model (dubbed StreamingJev) that determines whether and when intervention is needed, and a Response Model that generates responses for people