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Big Data and Internet of Things for Swarm Flying Robots



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  • Kita 14 Nishi 9
  • Kita-ward
  • Sapporo, Hokkaido
  • Japan 060-0814
  • Building: Graduate School of Information Science and Technology
  • Room Number: 11-17
  • Click here for Map

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  • Co-sponsored by IEICE Hokkaido Section


  Speakers

Prof. Elmer Dadios of De La Salle University, Philippines

Topic:

Big Data and Internet of Things for Swarm Flying Robots

Big Data and Internet of Things play very critical role on developing multiple mobile robots that cooperates and behave like a swarm. Swarm robotics is an approach for the coordination of large numbers of relatively simple robots. In this kind of robotic system, a single robot’s capability is limited in terms of sensing, computation, and communication but its behavior can be designed in such a way that a global behavior emerges from the local interactions among robots and between the robot and its environment. Swarm flying robots is an interesting research nowadays. When multiple robots are flying in the environment, communication and information sharing is very important for the robots to do specific task and avoid dynamic and static obstacles. This research presents the development of swarm algorithms for unmanned aerial vehicles addressing the challenging issues of big data and internet of things. The actual robots SWARM behaviors are implemented and tested through computer simulations and in real physical environment.

Biography:

Dr. Elmer P. Dadios, or “Elmer” to colleagues and friends, is a consultant on software and hardware development in the area of robotics and intelligent systems application. His research interests include: artificial intelligence, evolutionary systems, fuzzy logic, manufacturing processes, neural networks, robotics, software engineering, automation and intelligent systems. He holds the highest faculty rank (Full Prof 10) of the De La Salle University (DLSU). In May 2008, Elmer was conferred the title of University Fellow, the highest award and recognition given by DLSU to faculty members who exhibit consistent scholarly pursuit through research and publication, effective teaching performance, and exemplary modeling of the Lasallian core values.

A multi-awarded educator and scholar, Elmer has earned over 20 recognitions and distinctions from various national scientific award-giving bodies and professional organizations. Among the more recent major awards he garnered include: 2018 D. M. CONSUNJI AWARD for Engineering Research from Philippines Association of Science and Technology (PhilAST). Lifetime Achievement Award from the National Research Council of the Philippines (NRCP). Outstanding Scientific Paper Award for his “Analysis of Colonic Histopathological Images Using Pixel Intensities and Hough Transform” from the National Academy of Science and Technology (NAST). 50 Men and Women of Science and Technology and Scholar Achievers Award from the Department of Science and Technology (DOST). Elmer has been very visible in both the local and international milieu, not only by attending conferences but also in sharing his expertise with colleagues and other institutions. Currently, he serves as editor of the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) published by the Fuji Technology Press, Ltd. (Tokyo, Japan); editor in chief of the Journal of Computational Innovations and Engineering Application (JCIEA) published by DLSU Publishing House, editorial board member of the International Journal of Advanced Robotic Systems, InTech Open Access Publisher; He is very active in the Institute of Electrical and Electronics Engineering (IEEE) profesional organization. He is currently a member of the IEEE Asia and Pacific (R10) Executive Committee. He is the chair of the IEEE R10 Awards and Recognition Committee; He is the chair of the IEEE Computational Intelligence Society Philippines Chapter; At the national level, Elmer is the president of NEURONEMEK Corporation; Founder and past president of the Mechatronics and Robotics Society of the Philippines.

Elmer earned his Bachelor of Science in Electrical Engineering from the Mindanao State University in Marawi City, Philippines; and his Master of Science in Computer Science from De La Salle University. He holds a PhD from the Manufacturing Engineering, Loughborough University, United Kingdom.