Invited Talks

Professor Emeritus Kaoru Hirota
Beijing Institute of Technology, China
Title: Fuzzy Logic Control and its Application to Stepping Motor Nano-Drive
Abstract: The topics is about presenter’s lifetime research works on fuzzy control. Firstly, fuzzy control mechanism is prelected with the introductory talk of fuzzy logic. Then its demonstration/industrial applications are shown. Lastly, nano drive fuzzy controller for stepping motors is presented with video demonstrations especially from viewpoints of equiangular step in high resolution and motor vibration.

Professor Chenguang (Charlie) Yang
Bristol Robotics Laboratory, University of the West of England, UK
Title: Human-like Robot Control Design and Manipulation Skill Learning
Abstract: This talk will introduce our advance in the field of robot skill learning and human-robot shared control. We use control theory to model the control mechanism of motor neurons to assist us developing human-like robot controllers so that the robot can realize variable impedance control to adaptively physically-interact with the changing environment. I will further talk about recent work on learning from demonstration which are generally used to efficiently transfer modularized skills to robots using multi-modal information such as surface electromyography signals and contact forces, enhancing the effectiveness of skill reproduction in different situations. Besides, with the help of deep learning, we design a simulation twin-based method that can transfer the trained skills in simulation to physical robot effectively.

Professor Emeritus Shuji Hashimoto
Waseda University, Japan

Professor Stephan Schlögl
Management Center Innsbruck (MCI), Austria

Dr. Lili Aunimo
Haaga-Helia University of Applied Sciences, Finland

Professor Pitoyo Hartono
Chukyo University in Nagoya, Japan
In this talk, some forms of collaborative AI, in which human plays important roles in training, adjusting and recalibrating AI, will be introduced. A new neural network that allows human common-sensical transfer will be explained with some example in robots training. Some new human-machine interface for supporting collaborative AI will also be covered in this talk.

Robert Lovas, PhD habil.
Institute for Cyber-Physical Systems John von Neumann Faculty of Informatics, Óbuda University, Hungary

Michal Gregor
Kempelen Institute of Intelligent Technologies & University of Žilina

Assoc. prof. Maryam Alimardani
Tilburg University, Netherlands

Professor Cindy L. Bethel, Ph.D.
Mississippi State University, USA

Kateřina Lesch, PhD.
Charles University in Prague, Czech Republic
more to come…