Background
As Industry 4.0 advances, the management of collaborative robot fields is becoming increasingly complex. This project integrates 5G/6G wireless communication and AI-RAN task coordination to build a highly reliable, low-latency robot collaboration field management platform with standardized validation processes.
Research Objectives
This research focuses on three core objectives:
- Establishing dynamic task allocation mechanisms for heterogeneous 5G/6G network slicing in robot collaboration
- Designing a field management platform architecture compliant with IEC 61508 safety levels
- Developing quantifiable field validation metrics and standardized test procedures
Technical Approach
The research team applies Mobile Edge Computing (MEC) and network slicing to compress task coordination latency below 10ms for collaborative robot clusters. Combined with AI-RAN dynamic spectrum allocation, communication stability is ensured for multi-robot systems under high-load scenarios.
The field validation process of this project has been endorsed by the Industrial Technology Research Institute and is expected to become the standard reference framework for collaborative robot field management in Taiwan.
Expected Outcomes
Within the project timeline, a deployable prototype field management system will be completed, along with at least three SCI journal publications and technology partnerships with three domestic robot system integrators.