Articles tagged with "smart-factories"
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-softwareRobots 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of spreading and forgetting information, enabling robots to distinguish between relevant, real-time obstacles and outdated, unnecessary data.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-factoriesSEER Robotics offers digital product matrix
robotsmart-factoriesdigital-transformationlogistics-managementautomationintelligent-schedulingindustrial-automation