LATIDIA · Robótica

Comunicaciones orientadas a objetivos para la IA física: diseño y banco de pruebas

arXiv: 2609.15895v1Tipo de anuncio: nuevo Resumen: La IA física se basa en un flujo de video sensible a la latencia y actualizado con frecuencia para percibir, razonar e interactuar con el mundo físico, lo que resulta en estrictos requisitos de latencia

La noticia

arXiv:2609.15895v1 Announce Type: new Abstract: Physical AI relies on frequently-updated, latency-sensitive video stream to perceive, reason, and interact with the physical world, resulting in strict latency requirements with much higher data volumes that existing 5G networks cannot support. Goal-oriented communication (GoC) offers as a promising approach to solve this challenge by transmitting only task-relevant semantic representations. However, existing GoC frameworks were mainly evaluated in the simulations while their effectiveness has never been validated in a practical deployment of physical AI application. In this work, we develop an end-to-end GoC testbed for Physical AI, which connects a PiPER robot arm equipped with an RGB-D camera and a 5G modem to an