6G Empowering Future Robotics: A Vision for Next-Generation Autonomous Systems

2026-02-12

AI Summary

This study addresses the insufficient synergy among perception, cognition, actuation, and self-learning capabilities in 6G-enabled robotic systems operating in highly dynamic and complex environments. By establishing, for the first time, a systematic mapping between IMT-2030 key performance indicators and full-stack robotic functionalities, the work proposes an integrated tripartite cross-domain architecture that unifies networking, intelligence, and robotic services. Furthermore, it designs a real-time dynamic human-robot collaboration safety mechanism supporting high reliability, ultra-low latency, and robust perception. This research advances the deep integration of communication and robotics, offering an efficient and secure collaborative paradigm for human-robot coexistence scenarios.

Technology Category

• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Natural Language Processing: Safety and Robustness
• Humans and AI: Human-AI Collaboration / Human-AI Teaming

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Systems and Infrastructure for Web, Mobile and WoT: Web applications in cross-disciplinary domains and verticals such as mixed reality, smart cities, and digital health
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Abstract

The convergence of robotics and next-generation communication is a critical driver of technological advancement. As the world transitions from 5G to 6G, the foundational capabilities of wireless networks are evolving to support increasingly complex and autonomous robotic systems. This paper examines the transformative impact of 6G on enhancing key robotics functionalities. It provides a systematic mapping of IMT-2030 key performance indicators to robotic functional blocks including sensing, perception, cognition, actuation and self-learning. Building upon this mapping, we propose a high-level architectural framework integrating robotic, intelligent, and network service planes, underscoring the need for a holistic approach. As an example use case, we present a real-time, dynamic safety framework enabled by IMT-2030 capabilities for safe and efficient human-robot collaboration in shared spaces.

Problem

• 6G
• robotics
• autonomous systems
• human-robot collaboration
• IMT-2030

Innovation

• 6G
• robotics
• IMT-2030
• autonomous systems
• human-robot collaboration