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AI Enhanced Multi-Model Knowledge Image Caption for Intelligent Robotics and Resilience Manufacturing Ecosystem

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⏱️ 11/18 (Fri.) 13:30-14:00 at International Conference Hall


Artificial Intelligence becomes an important core technology of soft power with wide spectrum of applications including robot integrated resilient manufacturing ecosystem as well as industrial cyber-physical systems (iCPS). As the industry encountered lack of skilled labors/human resources and increased wages, the need of AI enhanced autonomous mobile industrial robot (AMIR) and resilient supply chain management is obvious. Amazon, Google and Microsoft are investing in AI and intelligent robotics technology. Others are likely to follow, further to stimulate investment and innovation. AI enhanced Image Caption can recognize contains of picture and can speak out. It is high-level that generates the context scenario descriptions from an image automatically. We need to concern a variety of elements and their spatial information to form semantically and syntactically sentences. The aforementioned issues, challenges and opportunities will be the focus of this presentation including some exemplary best practices and research results with video demo from our NTU Intelligent Robotics and Automation Lab.

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  • 羅仁權 Ren C. LUO
  • National Taiwan University , Electrical Eng. / Irving T. Ho Chair Professor
  • Prof. Ren C. Luo, IEEE and IET Fellow, received Dipl.-Ing. and Dr.-Ing. degrees from the Technische Universitaet Berlin, Germany. He is an Irving T. Ho Chair Professor at National Taiwan University. He served two-terms as President and Dean of Engineering of National Chung Cheng University, and Founding President of Robotics Society of Taiwan. He was President of IEEE Industrial Electronics Society.
    Prof. Luo was Toshiba Chair Professor in the University of Tokyo, Japan. He was an assistant Prof., tenured associate Prof. and Full Professor of Department of Electrical and Computer Engineering at North Carolina State University, NC, USA. He served as CTO of FFG Inc. the world 3rd largest machine tool manufacturer.
    Prof. Luo’s professional expertise includes AI enhanced robotic control systems, multi-sensor fusion, computer vision, intelligent manufacturing automation technologies. He has authored more than 550 papers, which have been published in refereed international Transactions/ Journals and refereed conference proceedings. He also holds over 25 international patents. He is currently served as Editor- in- Chief of IEEE Transactions on Industrial Informatics (Impact Factor 11.648), He also served 5 years as Editor-in-Chief of IEEE/ASME Transactions on Mechatronics.
    Prof. Luo is the 2021 Stanford University’s Top 2% of the Most-Cited Scientists, in the world within the field of Industrial Engineering & Automation for career-long citation impact. Prof. Luo received IEEE Eugene Mittelmann Outstanding Research Achievement Award, IEEE IROS Harashima Innovative Technologies Award; ALCOA Company Outstanding Engineering Research Award, USA; He also served as referee and final review panel member for the evaluation and assessment of national competitive major research grants program for numerous international organizations and countries, such as USA, Japan, Canada, Australia, European Union, Austria, Singapore etc.

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