무인공장 운용-피지컬AI SDF특화 기반모델

무인공장 운용을 위한 피지컬 AI SDF(Software-Defined Factory) 특화 기반모델을 개발하는 과제이다. 공장 현장의 센서·로봇·설비 데이터를 통합해 인지·계획·제어를 수행하는 피지컬 AI 기반모델을 구축하고, 이를 실제 무인공장 운용 환경에 적용·실증하여 자율 운용이 가능한 SDF 체계를 목표로 한다.

  • This project is funded by NIPA (National IT Industry Promotion Agency, 정보통신산업진흥원), Korea.
  • Period: Aug. 2026 – Dec. 31, 2030.

무인공장 운용-피지컬AI SDF특화 기반모델 (Physical AI SDF-Specialized Foundation Model for Autonomous Factory Operations)

The goal of this project is to develop a Physical AI foundation model specialized for the Software-Defined Factory (SDF), enabling autonomous operation of unmanned factories. The model integrates heterogeneous data from factory sensors, robots, and equipment to perform perception, planning, and control, and is deployed and validated in real factory environments so that the factory can be operated autonomously as a software-defined system.

Our lab participates as a participating researcher (과제 참여자), contributing our expertise in efficient AI — model compression and quantization, inference optimization, and on-device/edge deployment — so that the Physical AI foundation model can run within the latency and resource budgets of real factory floors.

Consortium

Jeonbuk National University logo
KAIST logo
KETI logo
  • Lead institution: Jeonbuk National University (전북대학교)
  • Participating institutions: Miracle AGI (미라클에이지아이), KAIST (한국과학기술원), DH (디에이치), NCAI (엔씨에이아이), LAON PEOPLE (라온피플), HL Robotics (HL로보틱스), ION Communications (아이온커뮤니케이션즈), LinkGenesis (링크제니시스), Planos (플래노스), KETI (한국전자기술연구원), Yonsei University Industry Foundation (연세대학교 산학협력단), WizCore (위즈코어), Huins (휴인스), iVerse (아이버스)