Industrial Forum
2017 IEEEIndustry Forum I
Robotics and AI: Technology Trends and Its Industrial Applications
Date: December 11, 2017 8:50-12:30
Venue: Howard Hall, B2, Howard Plaza Hotel Taipei
Chair: Prof. Ren C. Luo, National Taiwan University, Taiwan
2017 IEEEIndustry Forum II
Intelligent Manufacturing and Automation
Date: December 11, 2017 13:30-17:10
Venue: Howard Hall, B2, Howard Plaza Hotel Taipei
Chair: Prof. Ren C. Luo, National Taiwan University, Taiwan
Disaster Robotics and Industrial Applications
Prof. Satoshi Tadokoro
Tohoku University
Japan
Abstract
Robotics is expected to support disaster response and recovery and to promote disaster prevention as an advanced solution. Recent application of robotic systems proved their effectiveness and clarified various issues to be solved.
ImPACT-TRC is a project that focuses on research into robust robot technologies for accessibility, sensing & recognition, recovery, and environmental compatibility so that robots actually work well in real disasters. Five types of robots, i.e. UAVs, construction robots, serpentine robots, legged robots and cyber rescue canine, are being developed with advanced visual, auditorial & haptic sensing, robust actuators, mechanisms & control, human interface, and robust wireless communication. A field evaluation meetings is held periodically for the milestones of R&D. It shows the applicable technologies to the users and industry to promote disruptive innovation in disaster response, recovery and preparedness as well as new field robot business.
In this keynote speech, recent technical achievement and application to disasters and industries will be introduced.
Biographical Sketch
Satoshi Tadokoro graduated from the University of Tokyo in 1984. He was an associate professor in Kobe University in 1993-2005, and is a professor of Tohoku University since 2005, and was a vice dean in 2014. He is a president of International Rescue System Institute since 2002 and IEEE RAS President in 2016-2017. He is a project manager of Japan Cabinet Office ImPACT Project in 2014-18.
He served as a project manager of MEXT DDT Project on rescue robotics in 2002-2007 having contribution of more than 100 professors nationwide, and PI of NEDO projects related to disaster robotics. His team developed various rescue robots, two of which called Quince and Active Scope Camera are well-known because they were used in disasters such as in nuclear reactor buildings of the Fukushima-Daiichi Nuclear Power Plant Accident. IEEE Fellow, RSJ Fellow, JSME Fellow, and SICE Fellow.
Technology Trends and Applications of Robotics and AI
Dr. Galane Chen
General Manger of R-Subgroup,
CTO and Chief Investment Officer,
Foxconn
Abstract
“AIRobot + AIoT” Platform for Smart Everything
Artificial Intelligence, AI, will contribute $ 15.7 trillion US dollars to the world economy by 2030. All major companies including Google, Amazon, Facebook, Apple, Intel, Microsoft, Qualcomm, nVidia, Baidu, Alibaba, and Tencent are competing on this area.
AI has been implemented in the area of Service Robots but not so much in the Industrial Robots. We are expecting AI to be the core for all kinds of robots. We called it “AIRobot”. In the recent years, AI and Internet of things (AIoT) have been taking off by some of the high tech companies. “AIRobot+AIoT” can be a new platform or total solution for smart home, smart office, smart factory, smart city, smart country, and smart world.
In this presentation, we will use “Vision” as the key element to have “AIRobot+AIoT” married together by using Core Vision Processor as the platform trying to be applied on Smart Everything.
Biographical Sketch
Ph.D., Material Science & Electrical Engineering, University of Minnesota, Minneapolis,
Corp. CTO, Foxconn Technology Group, 2002-Current
Chief Investment Officer, Foxconn Technology Group, 2015-Current
General Manager of R subgroup, Foxconn, 2017-Current
Board of Director, Foxconn Interconnect Technology (FIT), 2016-Current
President, Triple Win Technology (Shenzhen) Co. Ltd., 2017-Current
President, Wcube Co., Ltd., 2011-Current
President, Foxconn Optical Technology, 2000-2002
Executive Director, Seagate Technology, 1994-2000
Executive Director, Hitachi Metal Technology, 1991-1994
Co-Founder & VP of Engineering, Oerdex, 1989-1991
Granted over1000 patents (274 in the US, over 350 in Taiwan, over 350 in China)；Published over 50 technical papers on journals, including IEEE Transactions on Magnetics and Journal of Applied Physics Over 30 years of professional experiences in high technology and investment. Selected investments: InvenSense (IPO), GoPro (IPO), Next Biometrics (IPO), InVisage (Acquired by Apple), Maluuba (Acquired by Microsoft), Voke (Acquired by Intel), OmniVision (Privatization and Acquired by Chinese Company), Nervana (Acquired by Intel), Aptina (Acquired by On Semiconductor), AFOP (Acquired by Corning), Siargo (Acquired by Towngas), CliQr (Acquired by Cisco), Misfit (Acquired by Fossil), etc.； Taiwan President Award for Individual Achievement on Science and Technology in 2005；Strathmore’s WHO’S WHO Honors, 2001-2002；Establish Global R&D in Foxconn, 2001；Board Member, Chinese Engineering Society at San Francisco, USA, 1994-2000；Who’s Who in the West, 1987-1988；IEEE Member, 1983-Current
Societal Dissemination of Robot Technology for Disaster Prevention and Response
Prof. Hajime Asama
University of Tokyo
Japan
Abstract
The Great Eastern Japan Earthquake and Tsunami occurred in March 11, 2011, and as a result, the accident of Fukushima Daiichi Nuclear Power Plant occurred. Various types of remote-controlled machines have been used for the accident response and decommissioning to perform diverse missions in the high-radiation environment. However, just after the accident, the robot technology developed so far could not be utilized smoothly in the emergent situation.
It is important to prepare for or prevent from any possible disasters in future by having practical means for disaster, which include not only for the possible accidents of nuclear power plants or chemical plants, but also for accidents of social infrastructures, such as bridges, tunnels, dams, etc., and for any natural disasters, such as earthquakes, typhoons, volcano explosions, landslides, etc.
In order to provide the means for the disaster prevention and response and improve the productivity improvement of monitoring, inspection and maintenance, many projects to develop RT for disaster prevention and response and activities on its societal dissemination have been ongoing in Japan, including SIP (Cross-ministerial Strategic Innovation Promotion Program) and ImPACT (Impulsing Paradigm Change through Disruptive Technologies Program).
In this presentation, robot and remotely-controlled systems technology for accident response and decommissioning of Fukushima Daiichi Nuclear Power Stations which have been utilized so far are introduced as well as any other RT for disaster response, and inspection and maintenance of social infrastructures. Then, the issues are discussed how we should prepare for the future possible disasters and accidents, including not only technological development but also maintenance of technology, training of operators, establishment of mockups and test fields, and political strategy. Especially, the plans to promote societal dissemination of RT for disaster response, which are proposed by Council of Competitiveness-Nippon (COCN), and various recent trends towards their realization promoted by Japanese Government are introduced.
Biographical Sketch
Hajime Asama received his M. S. and Dr. Eng. in Engineering from the University of Tokyo, in 1984 and 1989, respectively. He was a Research Scientist, etc. in RIKEN Japan from 1986 to 2002. He became a professor of RACE, the University of Tokyo in 2002, and a professor of School of Engineering, the University of Tokyo since 2009. He received RSJ Distinguished Service Award in 2013, etc. He was the vice-president of Robotics Society of Japan in 2011-2012. an AdCom member of IEEE Robotics and Automation Society in 2007-2009. Currently, He is the president-elect of IFAC since 2017, the president of International Society for Intelligent Autonomous Systems since 2014, an associate editor of Journal of Robotics and Autonomous Systems, Control Engineering Practice, etc. He is currently council member of Science Council of Japan since 2017. He is a Fellow of JSME and RSJ. His main research interests are distributed autonomous robotic systems, smart spaces, service engineering, embodied brain systems, and service robotics.
Leading the Digital Transformation with MindSphere
– The cloud-based, open IoT operating system from Siemens
Erdal Elver
President and CEO
Siemens Ltd., Taiwan
Abstract
As the world becomes increasingly connected,digitalization– using digital technologies to transform business operations–is a key differentiator that will enable companies to remain competitive. Every business holds a wealth of data.To achieve end-to-end integration of the data, business must first take the fundamental step of connecting their assets to the digital world. MindSphere,the cloud-based,open IoT operating system from Siemens. for the digital transformation of companies regardless of industry or size, connects the real things to the digital world. With data analytics,connectivity capabilities, tools for developers, applications and services, MindSphere helps companies exploit full potential of their data, creates a full closed-loop decision environment for continuous optimization,a nd transforms the data into measurable business success.
Biographical Sketch
Master’s degree of Computer Science at the Technical University of Munich in Germany in 1986
1987 Siemens AG, Munich, Germany
─ Director for major software development projects
1995 Siemens Management Consulting, Munich, Germany
─ Senior Consultant and Project Manager
2000 Siemens AG, Mobile Networks, Munich, Germany
─ Vice President of Business Development
─ Member of the Mobile Radio Management Board
─ Vice President of Strategy & Business Excellence
─ Member of the Sales Management Board
2003 Siemens AG, Mobile Networks, Munich, Germany
─ General Manager and Vice President of Sales China
2004 Siemens Ltd., China
─ General Manager Jiangsu & Anhui and Vice President of Siemens Ltd., China
─ 2006: Awarded “Distinguished Guest of Yangzhou” by the Yangzhou Municipal government in recognition
─ 2008: Awarded the "Honorable Professorship" by Nanjing College of Information Technology (NJCIT) in China
i2008 Siemens Ltd., Vietnam
─ President and Chief Executive Office
2012 Siemens Ltd., Taiwan
─ President and Chief Executive Officer
Fast Simulation-based Optimization for Modern Complex Systems
Prof.Chun-Hung Chen
Dept. of Systems Engineering & Operations Research
George Mason University
USA
Abstract
In the light of Industry 4.0 and systems integration, the new-generation plants should operate with real-time data and constantly-revised forecast. Simulation is capable of modeling the complexity and uncertainty of modern systems.A dynamic system controller powered by simulation optimization can maintain the system performance at a high level by seamlessly optimizing the system configuration according to the real-time information.The efficiency of simulation optimization is critical to its success. We will present the state-of-the-art and some future research directions. One example is Optimal Computing Budget Allocation (OCBA), initially developed by the speaker. OCBA is a framework that aims to maximize the overall simulation and sampling efficiency for finding a good decision given a limited computing time. Another promising approach for further enhancing the efficiency is multi-fidelity/multi-scale simulation optimization by utilizing real-time data.
Biographical Sketch
Chun-Hung Chen received his Ph.D. degree from Harvard University in 1994. He is currently a Professor at George Mason University. Dr. Chen was an Assistant Professor at the University of Pennsylvania before joining GMU. He was also a professor at National Taiwan University (Electrical Eng. and Industrial Eng.) from 2011-14. Dr. Chen was awarded with “National Thousand Talents” (国家千人) in 2011 (via Peking University). Sponsored by NSF, NIH, DOE, NASA, FAA, Missile Defense Agency, and Air Force in US, he has worked on the development of very efficient methodology for simulation-based decision making and its applications. He has served as a Department Editor for IIE Transactions, Department Editor for Asia-Pacific Journal of Operational Research, Associate Editor for IEEE Transactions on Automation Science and Engineering, Associate Editor for IEEE Transactions on Automatic Control, Area Editor for Journal of Simulation Modeling Practice and Theory, Advisory Editor for International Journal of Simulation and Process Modeling, and Advisory Editor for Journal of Traffic and Transportation Engineering. Dr. Chen is the author of two books, including a best seller: “Stochastic Simulation Optimization: An Optimal Computing Budget Allocation”. He is an IEEE Fellow.
Key Success Factors to Become a Smart Factory
Mag.(FH)-Ing. Werner Paulin
International Senior Business Manager
B&R-Automation, Inc.
Austria
Abstract
Emerging markets, a rising middle class ask for more and more individual product segments. Former large batch sizes turned into batch size 1. Machine builders but also manufacturer of consumer produces face the challenge of highly flexible manufacturing. This lecture points out technologies and strategies which are key for a successful implementation of flexible manufacturing.
Biographical Sketch
Werner Paulin is since 1997 with B&R. He has studied electrical engineering and communication technologies and has also graduated in business management. As International Sales Manager for Greater China he is responsible together with the Managing Director for Greater China for the strategic development of this market. Before he became International Sales Manager, he worked as System Architect in B&R's research and development division focusing on strategic development of Automation Studio the integrated development platform of B&R.
