{"slug": "intel-stakes-new-claim-in-physical-ai-with-robotics-chips", "title": "Intel stakes new claim in physical AI with robotics chips", "summary": "Intel has reentered the robotics market with its Core Ultra Series 3 processors, now featured in 130 edge AI and robotics designs, including a robotic barista from Crown Digital. The chipmaker aims to establish AI on the \"edge\" by enabling devices to run AI locally rather than offloading to the cloud, leveraging power-efficient chip designs adapted from laptops. The move comes under new CEO Lip-Bu Tan as part of a broader strategy to target high-growth areas, with Morgan Stanley projecting the robotics market could reach $5 trillion by 2050.", "body_md": "Intel is invading the physical AI space with a reentry into the robotics market it quit many years ago amid financial struggles.\n\nThe robotics strategy is part of the company’s larger plan to establish AI on the “edge,” in which devices have the computing capability to run AI locally. Many devices lack AI capabilities and have to offload processing to the cloud.\n\nThe chipmaker said its Intel Series 3 processors are now in 130 edge AI and robotics designs. It also had a design win with [SensoryAI](https://sensoryai.pro/), which provides technology for robots that include Ella, a robotic barista made by Crown Digital.\n\nThe company’s [Core Ultra Series 3 processors](https://newsroom.intel.com/artificial-intelligence/intel-core-ultra-series-3-for-edge-ai-robotics) are derivatives of chip designs intended for laptops. But Intel has achieved a level of power efficiency for long battery life that allows those chips to be adapted for handheld devices and laptops.\n\nIntel also said it can build advanced robotics chips thanks to its latest manufacturing technologies.\n\nFor example, many robotic functions, such as computer vision and real-time controls, can be integrated into a single chip. Previously, functions like graphics and movement and control were distributed among different cores in a chip.\n\nSensoryAI, for example, has a chip architecture that provides the robotic barista — which is more like a robotic arm — with AI capabilities, Intel said.\n\nThe main “Avatar” agent handles customers as the main “Ella” agent reasons and executes the task. If Ella encounters errors, it passes on the issue to a Guardian agent, which helps with the recovery. Some issues could include making sense of an order, or cups that might be stuck.\n\nThe three agents are embedded in a single piece of Core Ultra Series 3 silicon.\n\nIntel is displaying some of those robots at the Computex trade show in Taiwan. The company shared a [video of a humanoid-style robot](https://x.com/intelnews/status/2008681146914066799) from the floor in a X.com post\n\nThis is not Intel’s first attempt at the robotics market. Intel [sold robotics chips and kits](https://www.computerworld.com/article/1663681/intel-ships-399-aero-board-to-make-drones-and-a-249-robotics-kit.html) when it was a dominant chip player in the field, but curtailed efforts in 2021 after Pat Gelsinger took over as CEO and restructured the company to focus on manufacturing.\n\nRobotics is now back on the menu under new Intel CEO Lip-Bu Tan, who replaced Gelsinger last year. He has restructured to company to focus on high-growth areas that can generate high returns.\n\nA [Morgan Stanley study last year](https://www.morganstanley.com/insights/articles/humanoid-robot-market-5-trillion-by-2050) indicated the robotics market could be worth $5 trillion by 2050 — and more than 1 billion humanoid robots could be in operation.\n\nRobots are seen to [improve human productivity and manufacturing output](https://www.computerworld.com/article/4127224/amid-ai-gloom-and-doom-wef-attendees-were-bullish-on-physical-ai.html). For example, they could help factories that are facing labor shortages or be used to [complete tasks that are dangerous](https://www.computerworld.com/article/4175902/qa-how-video-helps-build-robot-brains-for-physical-ai.html).\n\nHowever, challenges remain. There isn’t yet enough real-world data to train robots to do targeted work. And the AI models — generally called world models — they will need are still under development.\n\nTraining robots to do a specific job requires a sequence of events to happen in succession without any errors. Companies are still training robots to spot and understand errors, analyze possible resolutions, and take the right corrective action.", "url": "https://wpnews.pro/news/intel-stakes-new-claim-in-physical-ai-with-robotics-chips", "canonical_source": "https://www.computerworld.com/article/4179342/intel-stakes-new-claim-in-physical-ai-with-robotics-chips.html", "published_at": "2026-06-01 12:32:46+00:00", "updated_at": "2026-06-03 06:33:23.063204+00:00", "lang": "en", "topics": ["artificial-intelligence", "robotics", "ai-chips", "ai-infrastructure", "ai-products"], "entities": ["Intel", "SensoryAI", "Crown Digital", "Core Ultra Series 3", "Intel Series 3"], "alternates": {"html": "https://wpnews.pro/news/intel-stakes-new-claim-in-physical-ai-with-robotics-chips", "markdown": "https://wpnews.pro/news/intel-stakes-new-claim-in-physical-ai-with-robotics-chips.md", "text": "https://wpnews.pro/news/intel-stakes-new-claim-in-physical-ai-with-robotics-chips.txt", "jsonld": "https://wpnews.pro/news/intel-stakes-new-claim-in-physical-ai-with-robotics-chips.jsonld"}}