25th International Symposium on Artificial Life and Robotics
AROB 25th 2020
5th International Symposium on BioComplexity
January 22-24, 2020

Plenary Speakers

Wednesday, January 22, 2020

JIZAI Body: From Physical Cyborg to Virtual Cyborg

Masahiko Inami, Ph.D.
Professor, Information Somatics Laboratory
Research Center for Advanced Science and Technology, the University of Tokyo
Research Director, JST ERATO Inami JIZAI Body Project.


The social revolutions have accompanied innovation of the view of the body. If we regard the information revolution as establishment of a virtual society against the real society, it is necessary to design a new view of body "JIZAI body (Virtual Cyborg)", which can adapt freely to the change of social structure, and establish a new view of the body.
In this talk, we discuss how we understand of basic knowledge about the body editing for construction of JIZAI body (Virtual Cyborg) based on VR, AR and Robotics. Superhuman Sports: Applying Human Augmentation to Physical Exercise.
This talk will also present Superhuman Sports, a form of "Human-Computer Integration” to overcome somatic and spatial limitation of humanity by merging technology with the body. In Japan, official home of the 2020 Olympics and Paralympics , we hope to create a future of sports where everyone, strong or weak, young or old, non-disabled or disabled, can play and enjoy playing without being disadvantaged.


Dr. Masahiko Inami took up his current position as professor at the University of Tokyo after working at the University of Electro-Communications and Keio University. His interests include “JIZAI body editing technology,” the Augmented Human, and entertainment engineering. He has received several awards, including TIME Magazine’s “Coolest Invention of the Year” award and the Young Scientist Award from the Ministry of Education, Culture, Sports, Science, and Technology (MEXT). He is also the co-representative of the Superhuman Sports Society and a director of the VR Consortium. His latest book is called “Birth of the Superhuman! Human Beings Beyond Science Fiction (NHK Publishing, Inc).

Thursday, January 24, 2020

New approach to describing Collaborative robot behavior based on process building block

Jay Cheong, Ph.D.
Professor, Dept. of Mechatronics
Korea Polytechnics, Korea


Collaborative robots, that work together with the human, are becoming more and more popular in the industrial world. And you know that, the human and the robot complement each other. In this session, introducing process building blocks for designing collaborative robot interaction work systems and calculating accurate cycle times. We must accurately understand the structure and requirements of the upcoming Smart Factory and transform it into a robot of the desired shape in the industrial field. Because of this, recently developed collaborative robots have many sensors that can move with people. In the future, factories will change significantly as consumer patterns change. At the heart of that change is a smart factory. It should be easy to separate and assemble and convenient at the same time. The most important factor is to be with people.
In the coming future, collaborative robots will be exposed to public places as well as industrial sites and work with people. The smart factory strategy is different for each country or factory, but I want to talk about the components that a collaborative robot must have. One of its components is to present an approach to describing robot behavior based on process building blocks. The new collaborative architecture can be combined with existing process building block systems to reflect human-robot interaction and extract accurate cycle times. This method will present a new approach to describing robot behavior based on process building blocks.



2016 ~ 2010Research Engineer (Precedent research Team)LSIS Co., Ltd
2014 ~ 2011PH.DPusan National University
2010 ~ 2008Master's degreePusan National University
2008 ~ 2002Bachelor of engineeringPusan National University

◆Key Achievements

  • Development of Open-loop Control System using Industrial Inverter
  • Development of Continuous Process Control System using Torque Control of Vector Inverter
  • A Study on Improved Adaptive Sliding Mode Observer for PMSM Sensorless Response Characteristics
  • Concurrent Localization of Multiple Robots
  • Cornering Stability Improvement for 4 Wheel Drive Hybrid Electric Vehicle
  • Developed 4WD HEV Final Drive Unit
  • Postural Stabilization Control of Humanoid Unicycle Bicycle Robot Using Multi-Sensor Fusion Algorithm
  • Developed Locailzation Sensor in a wide area
  • Adaptive Fuzzy Dynamic Surface Sliding Mode Position Control for a Robot Manipulator with Friction and Deadzone
  • Barrier Lyapunov Function-Based Sliding Mode Control for Guaranteed Tracking Performance of Robot Manipulator
  • Improved Adaptive Sliding Mode Observer for Sensorless Response Characteristics
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