Quantum Mesh and ugo Team Up to Secure Factory Data

Quantum Mesh Inc. has entered into a business partnership with ugo Inc., a developer of business digital transformation robots. The two companies will work to build an edge computing infrastructure that connects robots and edge servers to safely protect on-site data in Japan’s manufacturing industry.

Through this partnership, ugo robots will connect via a network to a distributed edge data center using Quantum Mesh‘s “KAMUI” liquid immersion cooling system. Operation logs, sensor information, and imitation learning data generated and collected by the robots will be sent to the edge server for immediate processing, enabling low-latency, highly reliable real-time control. This will enable data processing that was previously sent to cloud services to be completed within the on-site facility, significantly reducing the risk of information leaks.

The two companies plan to begin demonstration experiments at actual production sites by the end of the year to verify the optimal collaboration model between robots and edge AI, and aim to turn it into a service by 2026, with the aim of expanding safe and efficient smart factories nationwide.

Also Read: SCSK Security Launches Cyber Hygiene Support Service

“Physical AI” advocated by ugo is a concept that links AI learning capabilities to the physical movements of robots. Utilizing data from humans operating and teaching robots, as well as sensor data accumulated at actual work sites, the AI ​​learns work procedures through imitation learning and reinforcement learning.

This on-site AI training is supported by ugo’s “Imitation Learning Kit for AI Robots.” This kit includes a dedicated bilateral controller for remotely controlling the dual-arm robot ugo Pro, as well as software tools that collect robot movement data and train the AI. This makes it easy to transfer the know-how of skilled workers to robots, and allows on-site personnel to teach robots new movements without specialized programming skills. This approach enables rapid adaptation and continuous functional improvement after robots are introduced to production sites.

SOURCE: PRTimes