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The Future of
Unmanned Factory

The Future of Autonomous Operations, Enabled by Physical AI.
Driven by DAIM Technology.

Technologies

Discover DAIM Technology's proven technologies,
validated through real-world results.

  • 130+ Global Evidence

    Proven Through Publications in Leading Journals and Top-Tier Conferences

    Including 32 conference papers and 12 international journal publications

  • 23+ Core Tech Patents

    Core Patents in Physical AI
    and Multi-Robot Orchestration

    Protected by domestic and international patents, establishing a strong competitive barrier.

  • 11+ Major Awards

    Recipient of Global Innovation Awards and Prestigious National Honors

    Recognized globally for technological excellence.

All Awards Patents & Certifications Publications
All Awards Patents & Certifications Publications
  • Publication
    Q (λ) Learning-Based Dynamic Route Guidance Algorithm for Overhead Hoist Transport Systems in Semiconductor Fabs
    • Authors

      Hwang, Illhoe, and Young Jae Jang

    • Published

      2020.02

    • Journal

      International Journal of Production Research

    Publication
    Artificial Intelligence in Manufacturing and Logistics Systems: Algorithms, Applications, and Case Studies
    • Authors

      Chen-Fu Chien, Stéphane Dauzère-Pérès, Woonghee Tim Huh, Young Jae Jang

    • Published

      2020.05

    • Journal

      International Journal of Production Research

  • Publication
    Machine Learning Based Evolutionary Algorithms and Optimization for Transportation and Logistics
    • Authors

      John Cheng, Bin Yang, Mitsuo Gen, Yong Jae Jang, Cheng-Ji Liang

    • Published

      2020.05

    • Journal

      Computers & Industrial Engineering

    Publication
    Breaking Moravec's Paradox: Visual-Based Distribution in Smart Fashion Retail
    • Authors

      Shin Woong Sung, Hyunsuk Baek, Hyeonjun Sim, Eun Hie Kim, Hyunwoo Hwangbo, Young Jae Jang

    • Published

      2020.07

    • Journal

      arXiv preprint arXiv:2007.09102

  • Publication
    Effects of 3D Virtual ‘Try-On’ on Online Sales and Customers’ Purchasing Experiences
    • Authors

      Hyunwoo Hwangbo, Eun Hie Kim, So-Hyun Lee, Young Jae Jang

    • Published

      2020.09

    • Journal

      IEEE Access

    Publication
    Modeling Individual Differences in Driver Workload Inference Using Physiological Data
    • Authors

      Yuna Noh, Seyun Kim, Young Jae Jang & Yoonjin Yoon

    • Published

      2021.01

    • Journal

      International Journal of Automotive Technology

Join us as we continue shaping the future
of intelligent automation with DAIM Technology.

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