<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Beckmann – Robots</title><description>Articles in the Robots section on Beckmann.</description><link>https://beckmann.ai</link><language>en-US</language><item><title>Xiaomi opens robotics AI with 100,000 training hours</title><link>https://beckmann.ai/en/ai-models/2026-08/xiaomi-robotics-1-open-source</link><guid isPermaLink="true">https://beckmann.ai/en/ai-models/2026-08/xiaomi-robotics-1-open-source</guid><description>Xiaomi has made its robotics base model Xiaomi-Robotics-1 freely available under the Apache-2.0 license. Trained with over 100,000 hours of real movement data, it surpasses previous open systems in standard tests by up to 58 percent. It masters new tasks after just a few hours of demonstration in three out of four attempts.</description><pubDate>Sat, 08 Aug 2026 18:27:41 GMT</pubDate><category>AI-Models</category><category>Robots</category><category>Open Source</category><author>Brian Beckmann</author></item><item><title>FCC bans new humanoid robots from China</title><link>https://beckmann.ai/en/ai-policy/2026-08/fcc-bans-china-robots</link><guid isPermaLink="true">https://beckmann.ai/en/ai-policy/2026-08/fcc-bans-china-robots</guid><description>The US agency FCC blocked new humanoid and quadruped robots from China for the US market on July 28. Two White House security investigations attest unacceptable supply-chain risks for the devices. Market leader Unitree is the main affected party; Chinese competitors like UBTech lost value on the stock market. Beijing threatens countermeasures and demands a retraction.</description><pubDate>Mon, 03 Aug 2026 16:27:12 GMT</pubDate><category>AI-Policy</category><category>Robots</category><author>Brian Beckmann</author></item><item><title>Nvidia delivers 27,500 Rubin chips to Japan for national AI factory</title><link>https://beckmann.ai/en/ai-economy/2026-07/nvidia-japan-ai-factory-rubin-chips</link><guid isPermaLink="true">https://beckmann.ai/en/ai-economy/2026-07/nvidia-japan-ai-factory-rubin-chips</guid><description>The chip manufacturer Nvidia is supplying a new Japanese AI factory with 27,500 Rubin graphics processors, funded by the state with up to six billion dollars. The carrier is the corporate consortium Noetra, consisting of SoftBank, Sony, NEC, and Honda. The facility is intended to train foundational models for industrial robots and digital twins. With this, Japan aims to capture a significant share of the global robotics market by 2040.</description><pubDate>Fri, 17 Jul 2026 15:25:11 GMT</pubDate><category>AI-Economy</category><category>Robots</category><author>Brian Beckmann</author></item><item><title>Orca: BAAI World Model Matches Robotics Without Action Labels</title><link>https://beckmann.ai/en/research/2026-07/orca-baai-world-model-robotics</link><guid isPermaLink="true">https://beckmann.ai/en/research/2026-07/orca-baai-world-model-robotics</guid><description>The Beijing research institute BAAI has introduced a world model with Orca that learns from 125,000 hours of video and 160 million event descriptions. The model outperforms larger competing systems in text and image tasks in tests and achieves the level of specialized systems in robot control, even though it saw no action labels during pre-training.</description><pubDate>Sun, 12 Jul 2026 05:37:13 GMT</pubDate><category>Research</category><category>Robots</category><author>Brian Beckmann</author></item><item><title>Robbyant releases AI world model LingBot-VA 2.0</title><link>https://beckmann.ai/en/ai-models/2026-07/robbyant-lingbot-va-20-robot-ai</link><guid isPermaLink="true">https://beckmann.ai/en/ai-models/2026-07/robbyant-lingbot-va-20-robot-ai</guid><description>On July 10, 2026, the Ant Group robotics unit Robbyant released its latest foundational model LingBot-VA 2.0 as open source. The system controls robotic arms in simulation tests with a success rate of 93.6 percent and significantly accelerates the response time compared to the previous version. The code is freely accessible on GitHub.</description><pubDate>Sat, 11 Jul 2026 12:44:08 GMT</pubDate><category>AI-Models</category><category>Robots</category><category>Open Source</category><author>Brian Beckmann</author></item><item><title>Mistral introduces Robostral Navigate: Robotics with a camera</title><link>https://beckmann.ai/en/ai-models/2026-07/mistral-robostral-navigate-robotics</link><guid isPermaLink="true">https://beckmann.ai/en/ai-models/2026-07/mistral-robostral-navigate-robotics</guid><description>Mistral AI unveiled its first model for robot navigation, Robostral Navigate, on July 8, 2026. The 8-billion-parameter model navigates robots solely using a single RGB camera and natural language instructions through complex indoor and outdoor spaces, entirely without Lidar or depth sensors. According to Mistral, it achieves a 76.6 percent success rate on the R2R-CE benchmark in unknown environments, surpassing comparable single-camera systems by 9.7 percentage points. The model is part of Mistral&apos;s strategy to position itself as a European provider of industrial &apos;Physical AI&apos; following the acquisition of the Vienna-based physics AI startup Emmi AI in May 2026. Mistral has not yet released public model weights, a technical paper, or a pricing model.</description><pubDate>Fri, 10 Jul 2026 10:18:04 GMT</pubDate><category>AI-Models</category><category>Europe</category><category>Robots</category><author>Brian Beckmann</author></item></channel></rss>