Prof. Genci Capi
Hosei University, Japan
Genci Capi is a professor of robotics and artificial inteligence at HOSEI University, Japan. He graduated with a Ph.D. in information systems engineering from Yamagata University in 2002. His teaching responsibilities include graduate courses in intelligent robots and undergraduate courses in control theory, robot programming, and numerical analysis. His research is in intelligent robots with a focus on brain machine interface, evolutionary robotics, map building, multi robot systems and humanoid robot. Know more about Prof. Genci Capi from here: http://assistrobotics.ws.hosei.ac.jp/
University of Leicester, UK
Ivan Tyukin is the
Head of Visual Intelligence Laboratory at the Department
of Mathematics, University of Leicester, United Kingdom.
He received the MSs. degree with Honors, Ph.D., and
D.Sc. degrees in System Analysis, Control and
Information Processing from Saint-Petersburg State
Electrotechnical University (ETU), Russia in 1998, 2001,
and 2006 respectively.
From 2001 until 2007 he was a Research Scientist at the Laboratory for Perceptual Dynamics, RIKEN Brain Science Institute, Japan. In 2007, 2012, and 2014 he received the posts of RCUK Academic Fellow, a Lecturer and Reader at the Department of Mathematics, University of Leicester, UK, respectively.
He is an Associate Editor of Communications on Nonlinear Science and Numerical Simulations (Elsevier), and served as a guest editor for Mathematical Modelling of Natural Phenomena. He is a member of IFAC Technical Committee on Adaptive and Learning Systems as well as a member of Organizing and/or Program Committees of various international meetings and conferences.
His research interests include neural networks and artificial intelligence, mathematical modeling, state and parameter inference, adaptive and nonlinear control, synchronization, and dynamical systems.
Prof. Chiharu Ishii,
Hosei University, Japan
received Bachelor of Engineering degree
in Mechanical Engineering from Sophia University in
1992, Master of Engineering degree in Mechanical
Engineering from Sophia University in 1994 and Doctor of
Engineering degree in Mechanical Engineering from Sophia
University in 1997.
He worked at Ashikaga Institute of Technology between 1997 and 2002, at Kogakuin University between 2002 and 2009, and at Shibaura Institute of Technology between 2009 and 2010. He has been working at Hosei University since 2010, and currently working as a Professor with the Department of Mechanical Engineering, Faculty of Science and Engineering at Hosei University.
Dr. Chiharu Ishii has received several awards such as The Best Paper Award in the area of Tactile and Haptic Interfaces at the 4th International Conference on Human System Interaction (HSI2011); Best Paper Award at the 1st International Conference on Computer Science, Electronics and Instrumentation (ICCSE2012); Best Presentation Award at the International Conference on Intelligent Mechatronics and Automation (ICIMA2013).
He is currently a member of IEEE, SICE, JSME, RSJ, IEEJ and JSCAS. His research interests are in medical robotics, assistive technology and robust control.
Prof. Dr. Matsumoto
University of electro-communications, Japan
Mitsuharu Matsumoto is
currently an associate professor in the University of
Electro-Communications. He received a B.E. in Applied
Physics, and M.E. and Dr. Eng. in Pure and Applied
Physics from Waseda University, Tokyo, Japan, in 2001,
2003, and 2006, respectively. His research interests
include acoustical signal processing, image processing,
pattern recognition, self-assembly, human-robot
interaction and robotics. He received Ericsson Young
Scientist Award from Nippon Ericsson K.K, Japan and FOST
Kumada Award, in 2009 and 2011, respectively. He
published around a hundred of journal and international
conference papers. He is a member of the Institute of
Electrical and Electronic Engineers (IEEE) and the
Institute of Electronic, Information and Communication
Toward self-adapting robots
Abstract: In this speech, I focus on self-adapting robots, which can change their own features depending on the environment and adapt environmental change.
As some approaches to achieve adapting ability, I pick up self-assembly, self-replication and transformable devices in this talk. Self-assembly is a good approach to achieve several structures. It can be found in nature. Self-replication is a kind of self assembly to obtain the same structure as the desired structure from simple parts automatically. I summarize the features of self-assembly and self-replication, and introduce some examples. Transformable robots are also powerful approaches to adapt the environment. I discuss the merits of transformable robots and show some examples of transformable devices. Transformable device that can switch between rigid and soft body is also introduced.
Prof. Toyomi Fujita
Tohoku Institute of Technology, Japan
Toyomi Fujita have
received his Ph.D. in Robotics from the Tohoku
University, Japan, in 1997. From 1997 to 2001 he has
been a Research Associate at the Graduate School of
Information Systems, the University of
Electro-Communications, Tokyo, Japan. He joined, in
2001, the Neurology and Telerobotics Units, in the
School of Optometry at the University of California,
Berkeley, USA. He has been with the Department of
Electronics and Intelligent Systems, Tohoku Institute of
Technology, Japan. He is currently a Professor of the
Department of Electrical and Electronic Engineering,
Tohoku Institute of Technology. His research interests
include robotics, robot vision, and human interface
Speech Title: Development of Tracked Mobile Robots with Multiple Legs
Speech Abstract: Recently, expectations for robots which perform activities in a disaster area or dangerous place for human have been increasing more and more. Such robots should not only move over rough terrain to obtain information but also complete handling tasks by themselves in their working area. Therefore, the robot that has a hybrid mechanism with tracks and multiple legs is useful because it can perform tasks for manipulation if the legs can also be used as robotic arms. Based on this consideration, our research group has been developed quadruped and hexapod tracked mobile robots as the prototypes of this type of robot. This talk will describe an overview of the developed robots and some hybrid task- and movement-related motions using legs and tracks.