AI

SK Pack to Lead Physical AI Autonomous Manufacturing R&D Project

TECHWORLD ·

[Photo: SK Pack]

✦ AI Summary

Namu AX subsidiary SK Pack has been selected as the lead research institution for KIAT’s international joint R&D project on physical AI-based autonomous manufacturing.

The government subsidy is KRW 10 billion, the support period is about 5 years, and Sejong University, the University of Toronto in Canada, CUUVA in Cuba, and food companies are among the participants.

SK Pack will develop autonomous manufacturing technology based on multi-AI agents that operate collaborative robots and AMRs as a single system, then apply it at food company sites before expanding to other manufacturing industries.

SK Pack, a subsidiary of Namu AX, will fully ramp up development of physical AI-based autonomous manufacturing technology. SK Pack has been selected as the lead research institution for the international joint R&D project on physical AI-based autonomous manufacturing pursued by the Korea Institute for Advancement of Technology (KIAT). The government subsidy for the project is KRW 10 billion, and the support period is about 5 years.

The project involves domestic and overseas industry, academia, and research participants, including SK Pack, Sejong University, the University of Toronto in Canada, CUUVA in Cuba, and food companies. SK Pack has been chosen as the lead organization for the international joint R&D project pursued by the government and has begun developing physical AI autonomous manufacturing.

The joint research team plans to develop autonomous manufacturing technology based on multi-AI agents that operate collaborative robots and autonomous mobile robots (AMRs) as a single system. The goal is to realize technology that integrates and operates multiple robots.

This technology is structured so that AI analyzes the status of workers, equipment, and processes, and carries out work planning, robot control, and safety responses. Implementing AI functions for analysis, planning, control, and safety response is also a goal of the project.

As the lead organization, SK Pack will be responsible for developing technology to integrate and control multiple heterogeneous robots. Based on its experience in manufacturing automation and robot integration, SK Pack plans to apply AI to actual production environments and aims to improve the completeness of autonomous manufacturing technology.

The development process will first verify work and control procedures in a virtual environment. It then plans to apply the technology step by step at food company production sites.

SK Pack plans to later confirm stability and business viability through long-term operation, and to expand the scope of application to other manufacturing sectors such as electronics, batteries, and automobiles. It also plans to commercialize the research results by linking them with AI factory solutions and operational software, while expanding its existing smart factory and manufacturing automation experience into the physical AI-based autonomous manufacturing sector.

Its parent company, Namu AX, is separately pursuing a physical AI data center business linked to AI factories on manufacturing sites. The supply plan consists of GPUs for robot training, a simulation-based synthetic data generation environment, and middleware for integrated data platform management, and it plans to supply them as a package combining GPUs, the synthetic data generation environment, and middleware.

SK Pack said the project is meaningful as an expansion of automation centered on individual robots and equipment, and that it aims to secure autonomous manufacturing technology through integrated operation based on multi-AI agents involving people and multiple heterogeneous robots. SK Pack added that it will start with food as the initial application area and then expand into a wide range of manufacturing industries, including electronics, batteries, and automobiles.

Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407732

References

This article was produced with the help of an automated content generation algorithm.


Source: TECHWORLD

View original

This article was summarized and organized by BizCrush based on the original article from TECHWORLD. For exact quotations and full details, please refer to the original article.