Edge AI refers to the deployment of artificial intelligence models directly on devices and machines rather than relying solely on centralized cloud infrastructure. This approach enables real-time decision-making, reduced latency, improved reliability, and greater data privacy for robotics and automated systems. The topic covers edge processors, embedded AI platforms, model optimization, and the trade-offs between edge and cloud computing. It also explores use cases in robotics, industrial automation, smart devices, and autonomous systems operating in bandwidth- or connectivity-constrained environments. As AI moves closer to the physical world, Edge AI plays a critical role in enabling responsive and scalable intelligent systems.
Naver Labs Europe has unveiled DIVINE, a universal encoder that consolidates multiple specialized AI encoders into a single model, reducing robot memory consumption by approximately 90% and increasing encoding throughput by up to 12 times for compact autonomous robotic platforms.
Texas Instruments reported first-quarter revenue of $4.83 billion, up 19% year-over-year, driven by 90% growth in its data center segment and 30% growth in industrial, sending shares to their best single-day gain since 2000.
DEEPX and Hyundai Motor Group’s Robotics LAB have announced a strategic collaboration to co-develop an ultra-low-power AI computing platform capable of running large-scale generative AI models on-device within robotic systems.
Qualcomm CEO Cristiano Amon says robotics will become a major revenue stream by 2028, as the company positions its Dragonwing chip at the center of the physical AI market.
Asus is winding down new smartphone development as it redirects resources toward AI computing, robotics, and physical AI systems for industrial and enterprise markets.
CES 2026 marked a turning point for Physical AI, as humanoids, autonomous machines, and AI-driven platforms moved from experiments to scalable, real-world systems.
Samsung unveiled its “Companion to AI Living” vision at CES 2026, outlining how AI will connect entertainment, home appliances, health, and services into a unified ecosystem.