Recently, Qiteng Robotics held a launch event for its brand at the Chongqing Yuelai International Conference Center. During the event, the company introduced its first industrial-grade embodied intelligence platform, 'Yuan Yu Zhi Xun', developed by Shengtong Energy, a publicly listed company under Qiteng Robotics. This platform integrates advanced technologies to create a closed-loop system connecting virtual simulations with real-world operations, enhancing efficiency and reducing costs in industrial applications.
The significance of this platform lies in its ability to streamline operations by minimizing on-site debugging time and improving decision-making efficiency. Utilizing proprietary technologies like RoboTwin Cloud and Sim Studio, the platform continuously evolves through real-time data feedback, optimizing algorithms and operational strategies. This innovation aims to make equipment smarter and more stable in real-world scenarios, with plans to gradually open-source its capabilities for broader industry collaboration.
At the launch, two new robotic products were showcased, including the X5 explosion-proof quadruped robot and the L3 explosion-proof wheeled robot, both designed for complex industrial environments. Qiteng Robotics has served over 6,000 clients globally, deploying more than 10,000 industry solutions and achieving over 8 million hours of safe operational runtime. The company aims to expand its safety inspection solutions to 100 countries by 2030, addressing various industrial safety scenarios.
Editor's Note
The launch of Qiteng Robotics' 'Yuan Yu Zhi Xun' platform highlights a significant advancement in industrial automation and safety inspection technologies. As companies increasingly seek to enhance operational efficiency and reduce costs, platforms that integrate real-time data with advanced robotics will play a crucial role in shaping the future of intelligent manufacturing. The dual service model of sales and leasing also reflects a growing trend in the industry towards flexible procurement strategies.
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