[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fm9r-ThlRe2KmndGdnZLUV5lm3YZGgFzuINWSpmJS-BQ":3},{"article":4,"related":19},{"id":5,"slug":6,"title":7,"seo_title":7,"description":8,"keywords":9,"content":10,"category":11,"image_url":12,"source_guid":13,"published_at":14,"created_at":15,"updated_at":16,"source_url":17,"source_name":18},1334,"agility-unveils-digit-5-with-a-claim-of-fence-free-work","Agility unveils Digit 5 with a claim of fence-free work","Agility says Digit 5 can work beside people without safety fences. Its warehouse record offers context, but the new model's safety claims need closer scrutiny.","[\"Agility Robotics\",\"Digit 5\",\"humanoid robots\",\"warehouse automation\",\"robotics safety\",\"Nvidia Halos\"]","\u003Cp>Agility Robotics has unveiled Digit 5, a humanoid robot for warehouses and factories that the company says can work beside people without safety fences. As \u003Ca href=\"https:\u002F\u002Fthe-decoder.com\u002Fagility-robotics-says-its-new-digit-5-robot-can-work-next-to-people-without-safety-fences\u002F\" rel=\"noopener noreferrer\">the-decoder.com reports\u003C\u002Fa>, the robot uses AI and sensors to detect people, then stops or moves aside. It also provides visual and audio warnings to people nearby. First deliveries are scheduled for early 2027, including in the EU.\u003C\u002Fp>\n\n\u003Cp>The new model lifts up to 22.7 kilograms, a 40 percent increase over its predecessor. Agility says a nine-minute charge provides 90 minutes of runtime, supporting more than 20 hours of work a day. Interchangeable grippers allow tasks such as moving bins and loading machines. Digit 5 stands 1.81 metres tall and weighs 129 kilograms. Agility is also the first partner for Nvidia’s Halos robotics safety platform. These details make the announcement about more than a new robot model: the central proposition is a machine that can carry heavier loads while sharing working space with people. Related: \u003Ca href=\"\u002Fnews\u002Fgoogle-deepmind-unveils-gemini-robotics-2-a-new-era-for-robotics\" rel=\"noopener noreferrer\">Google Deepmind Unveils Gemini Robotics 2: A New Era for Robotics\u003C\u002Fa>.\u003C\u002Fp>\n\n\u003Cp>The fence-free claim is the most consequential part, because it suggests a different approach to fitting robots into an existing operation. If Digit 5 can safely perform useful work in shared areas, a buyer could have more flexibility over where to deploy it. But detecting a person and stopping is only part of the practical question. Buyers would also need to understand which tasks and operating conditions support that claim, and how often human traffic interrupts the robot’s work. Those details are not provided in the report. Agility says Digit 4 was the first humanoid robot to pass an independent OSHA safety review on a production line. That is relevant background, but it does not establish the scope of a safety assessment for Digit 5. The distinction matters for anyone evaluating the new model for a particular site. Related: \u003Ca href=\"\u002Fnews\u002Ffuture-of-ai-robots-learning-on-the-spot\" rel=\"noopener noreferrer\">Future of AI: Robots Learning on the Spot\u003C\u002Fa>.\u003C\u002Fp>\n\n\u003Cp>The battery and lifting specifications also need to be read as inputs to a workflow, rather than a complete productivity result. More lifting capacity could broaden the jobs available to Digit 5, while short charging stops could make it easier to schedule work across a day. Yet the company’s claim of more than 20 working hours does not tell a customer how many bins it will move or machines it will load during those hours. The useful measure would be completed tasks under the conditions of that customer’s operation, including interruptions and charging. Swappable grippers add another possibility: using the robot for different jobs. The report does not establish how easily those changes happen in practice.\u003C\u002Fp>\n\n\u003Cp>Agility does have customer experience to point to. According to the company, Digit 4 accumulated more than 65,000 hours with customers including GXO, Amazon and Schaeffler. At GXO, it moved around 100,000 bins with about 98 percent accuracy. Those figures offer a stronger basis for assessing the business than specifications alone, because they describe activity at customer sites. Still, they concern the previous model, and the report does not define accuracy or explain what happened when a move was unsuccessful. For a prospective buyer, that missing context matters: the amount of human intervention required could change the value of an otherwise impressive operating record.\u003C\u002Fp>\n\n\u003Cp>The commercial figures deserve the same careful reading. Agility points to orders worth more than $300 million and a factory in Salem, Oregon, capable of producing up to 10,000 units annually. The order value suggests commercial interest, but the report gives no delivery breakdown. Factory capacity likewise describes potential output, rather than the number of robots being built or deployed. With deliveries due in early 2027, the useful evidence to watch is whether customers can put Digit 5’s shared-space capability to work on specific tasks, and what operating results they obtain once people and robots use the same floor.\u003C\u002Fp>","Gadgets & Hardware",null,"adf7ad4e512697dd37c4172aad58d20b52b60408b98ab51561eeabcfd9b229ab","2026-09-15T12:57:10.000Z","2026-09-15T16:14:46.392Z","2026-09-17 00:00:43","https:\u002F\u002Fthe-decoder.com\u002Fagility-robotics-says-its-new-digit-5-robot-can-work-next-to-people-without-safety-fences\u002F","the-decoder.com",[20,27,34,41],{"id":21,"slug":22,"title":23,"description":24,"category":11,"image_url":25,"published_at":26},1332,"deepseek-orders-160000-huawei-chips-for-inference-cluster","DeepSeek Orders 160,000 Huawei Chips for Inference Cluster","DeepSeek plans a 160,000-chip Huawei Ascend cluster in Inner Mongolia for inference, while training stays on Nvidia, per Bloomberg reporting.","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1788567170424-286i84driov.png","2026-09-04T14:19:14.000Z",{"id":28,"slug":29,"title":30,"description":31,"category":11,"image_url":32,"published_at":33},1322,"openais-jalapeo-chip-shows-fast-inference-at-scale","OpenAI's Jalapeño Chip Shows Fast Inference at Scale","OpenAI's Jalapeño chip, developed in collaboration with Broadcom, has shown significant performance advances in benchmark tests, outperforming state-of-the-a...","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1787702487045-retumd9ylw.png","2026-08-25T14:22:04.000Z",{"id":35,"slug":36,"title":37,"description":38,"category":11,"image_url":39,"published_at":40},1264,"amd-takes-aim-at-nvidia-with-helios-ai-rack-scale-system","AMD Takes Aim at Nvidia with Helios AI Rack-Scale System","AMD's Helios AI rack-scale system is set to shake up the AI hardware market, challenging Nvidia's dominance and offering a new alternative for datacenter ope...","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1784865783386-chze06i208k.png","2026-07-23T20:33:02.000Z",{"id":42,"slug":43,"title":44,"description":45,"category":11,"image_url":46,"published_at":47},1245,"openai-unveils-novel-speaker-device","OpenAI Unveils Novel Speaker Device","OpenAI unveils an innovative screenless speaker with mechanical elements that move independently, changing how we interact with AI devices.","https:\u002F\u002Fseedwire.co\u002Fapi\u002Fimages\u002Farticles\u002F1784073785174-2odx4kxdad4.png","2026-07-14T22:22:24.000Z"]