Embodied AI in 6G Networks: From Intelligent Connectivity to Physical Intelligence

2026-05-17

AI Summary

This study addresses the deep coupling of perception, communication, and action in embodied intelligence, as well as how 6G networks can support distributed task collaboration and secure control. We propose a Perception-Communication-Action (PCA) architecture oriented toward the 6G orchestration plane. By designing mechanisms such as task state interfaces, semantic freshness metrics, and predictive digital twins, the architecture exposes task states and safety boundaries to the network layer, enabling cross-agent semantic communication and secure coordination. Multi-robot simulations demonstrate that this framework effectively delineates the functional boundaries between 5G and 6G, confirming that network orchestration significantly enhances task utility while underscoring the necessity of local autonomous control in ensuring system safety.

Abstract

Embodied artificial intelligence (AI) couples perception and learned decision making to actions that change the physical world. This coupling distinguishes an embodied agent from a conventional connected controller: the agent maintains task state and uncertainty, reasons about the consequences of actions, and adapts from subsequent observations. Wireless networking becomes relevant when perception, inference, or coordination is distributed, but it should not replace local safety control. This article develops a tutorial perception--communication--action (PCA) architecture that exposes task state, action deadlines, uncertainty, agent intent, and safety envelopes to a 6G orchestration plane. It separates capabilities already addressed by 5G and 5G-Advanced from functions that motivate 6G, including task-state interfaces, semantic freshness, predictive digital twins, and safety-aware coordination across agents. A multi-robot simulation study is retained to illustrate joint sensing, communication, and computation control. The results show where network orchestration improves task utility and where local autonomy remains essential.

Problem

• Embodied AI
• 6G Networks
• Network Orchestration
• Physical Intelligence
• Safety-aware Coordination

Innovation

• Embodied AI
• PCA architecture
• Semantic freshness
• Predictive digital twins
• Safety-aware coordination