#Japan #Tokyo #Edge Computing #ugo #Quantum Mesh

Quantum Mesh and ugo Join Forces to Secure Manufacturing Data

In a groundbreaking collaboration, Quantum Mesh Corporation, based in Chuo Ward, Tokyo, is teaming up with ugo Corporation, known for its DX robots, to enhance data protection in Japan's manufacturing industry. This partnership sets out to establish an advanced edge computing platform that integrates ugo's robotics with Quantum Mesh's cutting-edge immersion cooling system, 'KAMUI'.

The collaboration aims to create a decentralized edge data center that services the manufacturing industry. Robots developed by ugo will work in tandem with edge servers provided by Quantum Mesh, allowing for the secure transmission of operation logs, sensor data, and imitation learning data generated by the robots. This immediate processing capability facilitates low-latency and reliable real-time control, significantly reducing the risk of information leaks traditionally associated with cloud service transmission.

Both companies plan to launch a proof-of-concept in actual production environments by the end of this year. This initiative will test the optimal synergy between the robots and edge AI, paving the way for commercialization of these services by 2026, thereby striving for the nationwide adoption of safe and efficient smart factories.

ugo's innovative approach, termed 'Physical AI', links the learning capabilities of AI technology with the physical movements of robots. This concept utilizes both operational data and sensor data accumulated from actual worksites, allowing the AI to learn and master work procedures through imitation and reinforcement learning. Further supporting this endeavor is ugo's 'Imitation Learning Kit' for AI robots, which includes specialized tools for remote operations and software to gather robotic motion data for AI training.

This kit enables the transfer of skilled worker know-how to robots, allowing on-site staff to train robots in new maneuvers without needing specialized programming skills. This approach ensures a rapid adaptation of robots post-deployment and continuous improvement of their capabilities within manufacturing environments.

Insights from Leadership

Ken Matsui, the CEO of ugo Corporation, stated, "Data collected from operational logs, sensor values, and imitation learning within manufacturing environments is delicate and essential information. A secure and low-latency management system is crucial. Through this partnership with Quantum Mesh, which specializes in decentralized edge data centers, we aim to create an environment that allows for real-time processing and storage while minimizing data extraction risks."

Hiroyuki Shinohara, CEO of Quantum Mesh Corporation, commented, "In a time when the integration of robots and AI is advancing rapidly, the high-precision data generated in operational settings is a remarkably sensitive and valuable asset. Our mission is to provide infrastructure that enables the secure and real-time processing of such onsite data. By merging ugo's robotics data with our secure edge processing environment, we can facilitate a significant reduction in data latency and enhance security, thus realizing next-generation solutions for smart factories and facility management."

Exploring ugo's DX Robot

ugo, or 'You Go,' is a hybrid business DX robot that combines remote operation with AI-driven autonomous control. Designed to adapt to various tasks such as security, inspections, and guidance, ugo allows for customization in selection and operation tailored to specific worksite needs. In sectors facing serious labor shortages, ugo is not merely a substitute for human labor but a collaborative partner that supports business continuity and efficiency while promoting digital transformation (DX).

Conclusion

As Quantum Mesh and ugo embark on this significant partnership, the fusion of robotics and edge computing promises a revolution in the way manufacturing data is safeguarded and processed. Their commitment to developing a secure and efficient infrastructure underscores a vital step towards the future of smart factories. Manufacturers can anticipate a safer, more responsive operational framework that not only protects vital data but also fosters innovation across the industry.