CarbonSix, AI Manufacturing Expert, Unveils Imitation Learning Robot Solution

An innovative solution has emerged to address the long-standing challenge in manufacturing sites: the difficulty of full automation stemming from frequent production model changes and high variability. CarbonSix, a physical AI company specializing in manufacturing, has officially launched 'SigmaKit,' a standardized robot AI product, thereby opening a new chapter in robot automation. SigmaKit is a toolkit designed for manufacturing sites, based on robot AI imitation learning. Its most significant characteristic is user convenience. It is designed to be easily integrated into existing manufacturing processes without requiring AI expertise or expensive additional equipment, thus greatly simplifying the complex procedures that operators previously had to set up and adjust manually. It demonstrates excellent performance in various unstructured tasks such as film attachment/detachment, assembly, machine tending, cable fastening, and hanging operations. This innovation is attributable to SigmaKit's integrated design, which comprises manufacturing-specialized artificial intelligence, sophisticated robot grippers, intuitive teaching tools, and smart sensor modules. It possesses the potential for utilization across a wide range of industrial sectors, including mobile devices, home appliances/electronics, automotive parts, food, and materials. CarbonSix's background is also noteworthy. CEO Moon Tae-yeon, who came from SuaLab (a company acquired by Cognex, USA, for 260 billion won in 2019, garnering significant industry attention), spearheaded its establishment. Key personnel include researchers from prestigious domestic and international universities such as MIT, Yale University, Seoul National University, and KAIST. Dr. Kim Jae-hyuk joined as co-CEO, and Dr. Seo Hyung-joo joined as Technical Director, further strengthening the company's technological leadership. Co-CEO Kim Jae-hyuk revealed that sales inquiries have been flooding in since SigmaKit's launch, and that active Proof-of-Concept (PoC) initiatives are underway with major domestic manufacturing enterprises. This suggests that SigmaKit is poised to become a powerful tool contributing to innovation in manufacturing productivity.