Survey maps AI, IoT, and robotics integration for connected systems

A new survey paper explores the integration of Artificial Intelligence, the Internet of Things, and Robotics, a convergence that is rapidly forming the basis for intelligent systems. The paper highlights the growing importance of Small Language Models (SLMs) at the edge and Large Language Models (LLMs) in the cloud for distributed cognition and autonomous decision-making. It proposes a modular system architecture and analyzes gaps in interoperability, aiming to provide a roadmap for developing next-generation Connected Robotics and Physical AI ecosystems. AI

IMPACT Provides a roadmap for developing integrated AI, IoT, and robotics systems, potentially accelerating advancements in autonomous and connected physical systems.

RANK_REASON This is a survey paper published on arXiv, detailing frameworks and trends in AI-IoT-Robotics integration. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• Artificial Intelligence
• Connected Robotics
• Physical AI
• Internet of Things
• Large Language Models
• Robotics
• Small Language Models

• paper
• other

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