ICIRA 2016 is supported by:
● IEEE SMC Japan Chapter
● Research Center for
    Community Centric Systems
    Research Center for Community Centric Systems
    Robotics Task Force

Advisory Committee:

Jorge Angeles
McGill University, Canada
Hegao Cai
Harbin Institute of Tech., China
Tianyou Chai
Northeastern University, China
Jiansheng Dai
King’s College London, UK
Toshio Fukuda
Meijo Univ., Japan
Fumio Harashima
Tokyo Metropolitan University, Japan
Huosheng Hu
University of Essex, UK
Han Ding
Huazhong Univ. of Sci. & Tech., China
Oussama Khatib
Stanford Univ., USA
Zhongqin Lin
Shanghai Jiao Tong Univ., China
Imre Rudas
Obuda University, Hungary
Shigeki Sugano
Waseda University, Japan
Guobiao Wang
National Natural Sci. Found. of China, China
Kevin Warwick
University of Reading, UK
Bogdan M. Wilamowski
Auburn University, USA
Ming Xie
Nanyang Technological University, Singapore
Youlun Xiong
Huazhong Univ. of Sci. & Tech., China
Huayong Yang
Zhejiang University, China

Organizing Committee:

General Chair:
Naoyuki Kubota
Tokyo Metropolitan University, Japan

General Co-chairs:
Xiangyang Zhu
Shanghai JiaoTong University,China
Kok-Meng Lee
Georgia Institute of Technology, USA
Jangmyung Lee
Pusan National University, Korea

Program Chair:
Kazuo Kiguchi
Kyushu University, Japan

Program Co-chairs:
Honghai Liu
University of Portsmouth, UK
Chun-Yi Su
Concordia University, Canada
Janos Botzheim
Tokyo Metropolitan University, Japan

Special Sessions Chair:
Kazuyoshi Wada
Tokyo Metropolitan University, Japan

Special Sessions Co-Chairs:
Alexander Ferrein
University of Applied Sciences, Germany
Chu Kiong Loo
University of Malaya, Malaysia
Jason Gu
Dalhousie University, Canada

Award Committee Chair:
Toru Yamaguchi
Tokyo Metropolitan University, Japan

Award Committee Co-Chairs:
Kentaro Kurashige
Muroran Institute of Technology, Japan
Kok Wai (Kevin) Wong
Murdoch University, Australia

Workshop Chairs:
Yasufumi Takama
Tokyo Metropolitan University, Japan

Workshop Co-chairs:
Simon Egerton
Monash University, Malaysia
Lieu-Hen Chen
National Chi Nan University, Taiwan

Publication Chairs:
Takenori Obo
Tokyo Metropolitan University, Japan

Publication Co-Chairs:
Taro Nakamura
Chuo University, Japan
Chee Seng Chan
University of Malaya, Malaysia

Publicity Chair:
Hiroyuki Masuta
Toyama Prefectural University, Japan

Publicity Co-Chair:
Jiangtao Cao
Liaoning Shihua University, China
Mattias Wahde
Chalmers University of Technology, Sweden
Simon X. Yang
University of Guelph, Canada

Financial Chair:
Takahiro Takeda
Tokyo Metropolitan University, Japan
Zhaojie Ju
University of Portsmouth, UK

Plenary Lectures

How can we develop 'deep mind' of robots?

Prof. Jun Tani
Korea Advanced Institute of Science and Technology, Republic of Korea
How can we develop 'deep mind' of robots?

    My research motivation has been to investigate how cognitive agents can acquire structural representation via iterative interaction with the world, exercising agency and learning from resultant perceptual experience. Over the past 20 years, my group has tackled on this problem by investigating the idea of predictive coding applied to development of cognitive constructs of robots. Under the principle of predictive coding, dense interaction take place between the top-down intention proactively acting on the outer world and the resultant bottom-up perceptual reality accompanied with the prediction error. Our finding has been that compositionality or systematicity enabling some conceptualization can emerge via such iterative interaction when constraints such as multiple spatio-temporal scale property applied to the neural network modeling and the way of tutoring the robots applied to the behavioral interaction level act on the development of the whole system in terms of 'downward causation'. The talk will highlight our recent results on interactive and integrative learning among multimodality of perceptual channels including pixel level dynamic vision, proprioception and linguistic inputs using a humanoid robot platform. Finally, I will point to one aim of future research, how the deep mind of a robot may arise through long-term educational tutoring program.

Speaker Bio:
    Jun Tani received a doctor of engineering degree in electrical engineering from Sophia University in Tokyo in 1995. He worked for Sony Corp. and later for Sony Computer Science Lab as a researcher from 1990 to 2001. Then, he worked at Riken Brain Science Institute from 2001 to 2012 where he has been a PI of Lab. for Behavior and Dynamic Cognition. He had been also appointed as a Visiting Associate Professor, Graduate School of Arts and Sciences, University of Tokyo from 1997 to 2002. He became a full professor of Electrical Engineering in KAIST in Korea in 2012 where he started Cognitive Neuro-Robotics Lab. His research interests include neurorobotics, deep learning, complex systems, brain science, developmental psychology, and philosophy of mind.

Kinematics That Entails Reconfigurable Mechanisms

Prof. Jian S. Dai
Chair of Mechanisms and Robotics
School of Natural and Mathematical Sciences
King’s College London, University of London, UK
Kinematics That Entails Reconfigurable Mechanisms

    This talk presents the study of kinematics and screw theories and their relations to Lie groups and Lie algebra through finite screws and is to be followed by the kinematics entailed reconfigurable mechanisms and robots. The intrinsic theory in the kinematics study provides a foundation of development of reconfigurable mechanisms and robots in their various forms, leading to a two-decade innovation in metamorphic mechanisms, reconfigurable robots and evolutionary parallel robots. With change of order of a screw system, the mechanism changes its mobility and presents its different topologies. Extensive applications of the reconfigurable mechanisms and robots are to be presented in the aspects of assembly, packaging, food industry, domestic robots, walking robots, and medical robots, with the current state of the art of reconfigurable mechanisms and robots.

Speaker Bio:
    Professor Jian S. Dai is a world leader and founder in developing a field of research and practice in reconfigurable mechanisms. He coined and advocated the idea of reconfigurable mechanisms as a promising concept to bridge the gap between versatile but expensive robots, and efficient but non-flexible machines. In his 26 years of study of screw theory, Prof. Dai established himself as an international leading figure in the field of theoretical kinematics particularly in screw theory from his work on finite twists in early 1990s to the continuing publications on screw systems and screw algebra in the last twenty years, leading to a recently published book entitled “Geometrical Foundation and Screw Algebra of Mechanisms and Robotics” in Chinese translated from the English original that is to be published.

    Prof. Dai received the 2015 ASME Mechanisms and Robotics Award in Boston, and is the 27th recipient of this prestigious lifelong-contribution award established in 1974 as in Wikipedia:

Prof. Dai is also the recipient of several conference and journal paper awards, ASME/IEEE outstanding service award, 2010 King’s College London Overall Supervisory Excellence Award, and 2012 Mechanisms Innovation Award from the China mechanisms committee. He is a Fellow of the ASME and IMechE, and has published over 400 works including four books.

Micro and Nano Bio Cell Robotic Manipulation and Automation

Prof. Toshio Fukuda
Nagoya University, Japan
Meijo University, Japan
Beijing Institute of Technology, China
Micro and Nano Bio Cell Robotic Manipulation and Automation

    Micro-nano robotics and automation system nowadays has a solid discipline, as synergetic integration of the micro and nano sensor, actuator, control, computer and material, and wide spread applications to industry and consumer in our daily life. Micro-nano fabrication, materials, assembly with evaluation leads downsizing of the products and give more economical material and energy efficiency, and more functions from the viewpoints of Green and Life innovations.
    This micro-nano robotics and automation system can also show to give a new dimension of theory and applications in the life science, such as medical engineering, bio-engineering, bio-robotics and other areas. In particular, more active observation with micro-nano robotic manipulation has been more popular, leading new discovery and finding in single cell analysis as well as improving the quality of life. Then it is challenging to investigate how we can construct a 3 D cell assembly by the synthesis approach based on the knowledge and findings of the cell analysis. There will be several methods to achieve this challenge. In this paper, we show some of the unique assembly methods by the DEP, hydro gel fibers and so on.

Speaker Bio:
    Toshio Fukuda graduated from Waseda University, Tokyo, Japan in 1971 and received the Master of Engineering degree and the Doctor of Engineering degree both from the University of Tokyo, in 1973 and 1977, respectively, after studying at Yale. He joined the National Mechanical Engineering Laboratory in Japan and also worked at the University of Stuttgart as a research Scientist. He joined the Science University of Tokyo in 1981, and then joined Department of Mechanical Engineering, Nagoya University, Japan in 1989. Currently, he is Professor Emeritus, Nagoya University, Meijo University and Professor of Beijing Institute of Technology.

    Prof. Fukuda was President of IEEE Robotics& Automation Society (1998-1999), IEEE Director Division X, Systems & Control (2001-2002), Founding President of IEEE Nanotechnology Council (2002-2005), Editor-In-Chief, IEEE/ASME Trans. Mechatronics (2000-2012), IEEE Region 10 Director (2013-2014), IEEE Director-elect, Division X, Systems and Control ( 2016). He is a member of the Science Council of Japan (2008-2013) and a member of the Academy of Engineering of Japan (2013). IEEE Pioneer Award on Robotics and Automation (2004), IEEE Technical Field Award on Robotics and Automation (2010), Friendship Award from Chinese Government(2014), Medal of Honor on Purple Ribbon from Japanese Government( 2015). IEEE Fellow (1995).