End-to-End O-RAN Testbed for Edge-AI-Enabled 5G/6G Connected Industrial Robotics

• URL: http://arxiv.org/abs/2603.13567v1
• Date: Fri, 13 Mar 2026 20:14:32 GMT
• Title: End-to-End O-RAN Testbed for Edge-AI-Enabled 5G/6G Connected Industrial Robotics
• Abstract summary: We present a 5G/6G O-RAN-based end-to-end testbed that integrates E-AI for connected industrial robotic applications.<n>The testbed is used to investigate trade-offs among different data acquisition, edge processing, and real-time streaming approaches for robotic perception.
• Score: 1.2179379138011863
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Connected robotics is one of the principal use cases driving the transition towards more intelligent and capable 6G mobile cellular networks. Replacing wired connections with highly reliable, high-throughput, and low-latency 5G/6G radio interfaces enables robotic system mobility and the offloading of compute-intensive artificial intelligence (AI) models for robotic perception and control to servers located at the network edge. The transition towards Edge AI as a Service (E-AIaaS) simplifies on-site maintenance of robotic systems and reduces operational costs in industrial environments, while supporting flexible AI model life-cycle management and seamless upgrades of robotic functionalities over time. In this paper, we present a 5G/6G O-RAN-based end-to-end testbed that integrates E-AIaaS for connected industrial robotic applications. The objective is to design and deploy a generic experimental platform based on open technologies and interfaces, demonstrated through an E-AIaaS-enabled autonomous welding scenario. Within this scenario, the testbed is used to investigate trade-offs among different data acquisition, edge processing, and real-time streaming approaches for robotic perception, while supporting emerging paradigms such as semantic and goal-oriented communications.

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