RIEM News LogoRIEM News

Articles tagged with "smart-factories"

  • Humanoid robots will take over factory jobs within 5 years: Xiaomi CEO

    Xiaomi CEO Lei Jun has predicted a rapid transformation in manufacturing over the next five years, driven by artificial intelligence and humanoid robots becoming central to factory operations. Highlighting the company’s electric vehicle plant, Lei pointed to AI-powered inspection systems that perform tasks much faster and more accurately than humans, exemplifying the shift toward intelligent automation. He envisions humanoid robots replacing workers in repetitive or precision-heavy factory roles and anticipates this industrial automation market will grow into a trillion-yuan sector reliant on partnerships and shared engineering platforms. Beyond factories, Lei expects household humanoid robots to emerge as an even larger market, requiring higher performance to handle complex daily tasks. Xiaomi has already demonstrated robotics capabilities with its CyberOne humanoid robot and is expanding its AI and robotics teams as part of a broader strategy to integrate smart systems across products and production. Lei emphasized that intelligent manufacturing not only boosts efficiency and accuracy but also frees human workers to focus on creative and technical roles, aligning with China’s national goals for modernizing

    robotshumanoid-robotsfactory-automationAI-in-manufacturingXiaomi-roboticsindustrial-robotssmart-factories
  • Hyundai Motor Group Announces NVIDIA Blackwell AI Factory to Power Fleet of AI-Driven Mobility Solutions - CleanTechnica

    Hyundai Motor Group and NVIDIA have announced a deepened collaboration to establish an AI factory powered by NVIDIA’s Blackwell AI infrastructure, aimed at accelerating innovation in autonomous vehicles, smart factories, and robotics. This partnership involves co-developing core physical AI technologies and integrated AI model training, validation, and deployment using 50,000 NVIDIA Blackwell GPUs. The initiative supports the Korean government’s plan to build a national physical AI cluster, with a combined investment of approximately $3 billion to advance Korea’s AI ecosystem. Key projects include the creation of Hyundai’s Physical AI Application Center, NVIDIA AI Technology Center, and physical AI data centers, alongside efforts to nurture local AI talent through collaboration with NVIDIA’s engineers. The collaboration builds on previous joint efforts and marks a shift from adopting advanced AI software to innovating physical AI technologies for mobility solutions and next-generation manufacturing. Hyundai is leveraging NVIDIA’s Omniverse and Cosmos platforms to develop digital twins of car factories and robotics, while utilizing NVIDIA Nemotron and NeMo

    robotAIautonomous-vehiclessmart-factoriesNVIDIAHyundai-Motor-Groupmobility-solutions
  • Nvidia expands AI ties with Hyundai, Samsung, SK, Naver

    Nvidia CEO Jensen Huang is visiting South Korea to announce expanded collaborations with major Korean technology companies—Hyundai Motor, Samsung, SK Group, and Naver—alongside the South Korean government. This partnership aims to significantly boost South Korea’s AI infrastructure and physical AI capabilities, with the country securing over 260,000 of Nvidia’s latest GPUs. Approximately 50,000 GPUs will support public initiatives, including a national AI data center, while the remaining GPUs will be allocated to leading companies to drive AI innovation in manufacturing and industry-specific AI model development. This move follows recent U.S. technology agreements with Japan and South Korea to enhance cooperation on emerging technologies such as AI, semiconductors, quantum computing, biotech, and 6G. Key collaborations include Samsung and Nvidia’s joint effort to build an AI Megafactory that integrates AI across semiconductor, mobile device, and robotics manufacturing using over 50,000 Nvidia GPUs and the Omniverse platform. They are also co-developing AI

    AIroboticssmart-factoriesautonomous-mobilitysemiconductor-manufacturingAI-infrastructureGPU-technology
  • Software bridging humanoid robots, machines shortlisted for top honor

    Flexxbotics, a U.S.-based digital manufacturing solutions company, has developed FlexxCORE™, a low-code software platform designed to bridge humanoid robots with factory systems, enabling seamless communication and coordination between robots, industrial machinery, IT systems, and human operators. This technology uses specialized connectors called Transformers to facilitate bi-directional data exchange, allowing robots to interpret machine tasks, monitor operational status in real time, and manage multiple operations simultaneously through parallelized data pipelines. FlexxCORE’s expanded data models also enhance robot contextual awareness and machine learning capabilities, eliminating the need for complex custom coding and supporting interoperability across thousands of equipment types. Flexxbotics’ innovation has earned the company a finalist spot in the Groundbreaking Technology category of the Humanoid Robotics Industry Awards 2025, competing alongside notable industry players such as Nvidia and Agibot. The awards recognize advancements shaping the future of intelligent automation and humanoid robotics, with winners to be announced in November 2025. Flexxbotics

    robothumanoid-robotsmanufacturing-automationindustrial-robotssmart-factoriesrobot-integrationrobotics-software
  • Robots cut 30% travel time using human-like memory in smart factories

    Researchers at South Korea’s Daegu Gyeongbuk Institute of Science and Technology (DGIST) have developed a new “Physical AI” technology that enhances the navigation efficiency of autonomous mobile robots (AMRs) in environments such as logistics centers and smart factories. This technology mimics human-like memory by modeling the social phenomenon of spreading and forgetting information, enabling robots to distinguish between relevant, real-time obstacles and outdated, unnecessary data. By forgetting obsolete information—such as obstacles that have been cleared—the robots avoid unnecessary detours, improving movement efficiency and productivity in complex, dynamic settings. Testing in a simulated logistics center demonstrated significant performance improvements, with average travel times reduced by up to 30.1% and task throughput increased by 18.0% compared to conventional ROS 2 navigation systems. The technology requires only 2D LiDAR sensors, making it cost-effective and easy to integrate as a plugin into existing ROS 2 navigation stacks without hardware modifications. Beyond industrial applications, this approach holds promise

    robotsautonomous-mobile-robotsphysical-AIsmart-factorieslogistics-automationrobot-navigationcollective-intelligence-algorithm
  • "Dark Factories" — Chinese Automakers Living Tesla's Dream - CleanTechnica

    The article discusses the contrast between Tesla’s early struggles with factory automation and the current advancements made by Chinese automakers in this area. Tesla initially aimed to fully automate its Model 3 production line but faced significant challenges that delayed mass production. Ultimately, Tesla had to revert to manual labor to stabilize production, and while automation has since increased, Tesla’s factories are still not fully automated. In contrast, Chinese automakers, exemplified by the young company Zeekr (founded in 2021), have embraced extensive automation to the point of operating “dark factories”—highly automated facilities that can run with minimal human presence, even with the lights off. Zeekr’s welding workshop reportedly employs over 800 robots simultaneously, enabling near-complete lights-out production and an annual output capacity of around 300,000 vehicles. This reflects China’s leading position in deploying industrial robots at scale within the automotive industry, surpassing other countries in automation integration.

    roboticsautomationmanufacturingelectric-vehiclesindustrial-robotsautomotive-industrysmart-factories
  • SEER Robotics offers digital product matrix

    robotsmart-factoriesdigital-transformationlogistics-managementautomationintelligent-schedulingindustrial-automation