Trustworthy Autonomy in 6G Robotics: Advances and Perspectives on Edge Intelligence and Federated Self-Certification
Muhammad Waqas Nawaz, Aryan Kaushik, Lina Mohjazi, David Flynn, Rafiq Swash, Qammer H. Abbasi, Muhammad Ali Imran, Olaoluwa Popoola · 2025
The rapid evolution of 6G networks is revolutionizing robotics by enabling ultra-reliable low-latency communication (URLLC), massive machine-type communication (mMTC), and AI-driven optimization. Integrated Sensing and Communication (ISAC) plays a pivotal role in enhancing robotic perception, collaboration, and real-time decision-making. However, ensuring secure and privacy-preserving authentication in sixth-generation (6G) multi-connected robotic systems (Hexa-MCR) remains a challenge. This article explores decentralized authentication solutions leveraging edge computing, asynchronous federated artificial intelligence (AI), and lightweight cryptographic techniques. In a multi-robot setup, the proposed approach improves model accuracy while optimizing computation, reducing energy use, and minimizing latency. The results validate its effectiveness in real-time authentication for secure coordination. This work also explores challenges, standardization efforts, and future research in 6G-driven multi-robot collaboration.