Prof. Dr.-Ing. Ren C. Luo IEEE Fellow, IET Fellow, Past President of IEEE Industrial Electronics Society National Taiwan University |
Prof. Ren C. Luo, an IEEE and IET Fellow, received Dipl.-Ing. and Dr.-Ing in EE from the TU Berlin, Germany. He is an Irving T. Ho Chair Professor at National Taiwan University; He served as Chief Technology Officer of FFG Inc., the world 3rd largest machine tool manufacturer and CTO of ASUS Inc. He has served two-terms as President and Dean of Engineering at National Chung Cheng University., one of the major universities in Taiwan, and Founding President of Robotics Society of Taiwan. He was President of IEEE Industrial Electronics Society.
Prof. Luo was an assistant, tenured associate professor and Full Professor of Dept. of ECE at North Carolina State University, Raleigh, USA. He was Toshiba Chair Professor in the University of Tokyo, Japan. Prof. Luo’s professional expertise includes AI enhanced intelligent robotic control systems, multi-sensor fusion, and intelligent manufacturing automation technologies. He has authored over 550 papers, published in refereed international Transactions/ Journals, conferences.
Prof. Luo has served as EiC of IEEE Transactions on Industrial Informatics (JIF 12.30) and was EiC of IEEE/ASME Transactions on Mechatronics. Prof. Luo received the IEEE Eugene Mittelmann Outstanding Research Achievement Award, IEEE IROS Innovative Technologies Award; ALCOA Company Outstanding Engineering Research Award, USA.
The distinction between industrial robot and service robot become mutually ambiguous because an autonomous mobile service robot can carry/equip with an industrial robot to perform the dedicated services at manufacturing automation factory shop floor, warehouse, hospital and other public areas. In this talk, an AI enhanced intelligent autonomous mobile and industrial robot along with multi-modal Generative Adversarial Network (GAN) based image caption system for intelligent human-robot interactive services will be presented.
The aforementioned issues, challenges and opportunities will be discussed including research results on intelligent robotics and manufacturing automation with video demo of some exemplary best practices from our NTU iCeiRA Lab.