SOURCE-LINKED INTELLIGENCE
Goal-Oriented Communications for Physical AI: Design and Testbed
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 a
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T17:16:23.000Z
First collected: 2026-09-20T09:41:04.278Z. This is not the publication date.