Recently, various types of intelligent robots have been developed for the society of the next generation. In particular, intelligent robots should continue to perform tasks in real environments such as houses, commercial facilities and public facilities. The growing need to automate daily tasks combined with new robot technologies are driving the development of human-friendly robots, i.e., safe and dependable machines, operating in the close vicinity to humans or directly interacting with persons in a wide range of domains. The technology shift from classical industrial robots, which are safely kept away from humans in cages, to robots, which will be used in close collaboration with humans, requires major technological challenges that need to be overcome. Computational intelligence is very important to provide human-friendly services by robots. A robot should have human-like intelligence and cognitive capabilities to co-exist with people. The study on the intelligence, cognition, and self of robots has a long history. The concepts on adaptation, learning, and cognitive development should be introduced more intensively in the next generation robotics from the theoretical point of view. Fuzzy, neural, and evolutionary computation play important role to realize cognitive development of robots from the methodological point of view. Furthermore, the synthesis of information technology, network technology, and robot technology may bring the brand-new emerging intelligence to robots from the technical point of view. The structurization of information and knowledge is a key topic to support the cognitive development of robots. This special session focuses on the intelligence of robots emerging from the adaptation, learning, and cognitive development through the interaction with people and dynamic environments from the conceptual, theoretical, methodological, and/or technical points of view.
The topics of interests in the special session include, but are not limited to:
- Robot Intelligence
- Learning, Adaptation, and Evolution in Robotics
- Human-Robot Interaction
- Embodied Cognitive Science
- Perception and Action
- Intelligent Robots
- Fuzzy, Neural, and Evolutionary Computation for Robotics
- Evolutionary Robotics
- Soft Computing for Vision and Learning
- Informationally Structured Space.
Important dates:Paper Submission: 19 December 2014
Paper acceptance notification: 20 February 2015
Final paper submission deadline: 13 March 2015
Organizers:Janos Botzheim, Graduate School of System Design, Tokyo Metropolitan University, Japan
Janos Botzheim was born in Budapest, Hungary, in 1978. He earned the M.Sc. and Ph.D. degrees in Computer Science at the Budapest University of Technology and Economics in 2001 and 2008, respectively. He is an associate professor in the Graduate School of System Design at the Tokyo Metropolitan University. He is a member of several scientific societies such as John von Neumann Computer Science Society, Hungarian Fuzzy Association, IEEE. His research interests are: computational intelligence, especially evolutionary and memetic algorithms; computational intelligence applications in robotics. He is the Symposium Chair of the IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) 2014.
Chu Kiong Loo, Faculty of Computer Science and Information Technology University of Malaya, Malaysia firstname.lastname@example.org
Chu Kiong Loo obtained his PhD (University Sains Malaysia), B.Eng (First class Hons in Mechanical Engineering from University Malaya). Formerly he was a design engineer in various industrial firms in different capacities as well as he has been the chairman of Centre for Robotics and Automation in Multimedia University. Currently he is a professor in Artificial Intelligence Department, Faculty of Computer Science and Information Technology, University of Malaya, Malaysia.
He has published many publications in peer-reviewed journals of robotics, artificial intelligence and soft-computing, quantum optics that are recognized as outstanding and appropriate to the discipline: Based on the theoretical foundation of Prof. Karl H. Pribram in Holonomic Brain Theory he continues the co-development of Dendritic field network with Dr. Mitja Perus and their major work is published in the scientific book, “Biological and Quantum Computing for Human Vision: Holonomic Models and Applications”, 2011. He is the Symposium Chair of the IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS) 2014.
Naoyuki Kubota, Graduate School of System Design, Tokyo Metropolitan University, Japan
Naoyuki Kubota received the B.Sc. degree from Osaka Kyoiku University, Kashiwara, Japan, in 1992, the M.Eng. degree from Hokkaido University, Hokkaido, Japan, in 1994, and the D.E. degree from Nagoya University, Nagoya, Japan, in 1997. He joined the Osaka Institute of Technology, Osaka, Japan, in 1997. In 2000, he joined the Department of Human and Artificial Intelligence Systems, Fukui University, as an Associate Professor. He joined the Department of Mechanical Engineering, Tokyo Metropolitan University, in 2004. He is a Professor with the Department of System Design, Tokyo Metropolitan University, Tokyo, Japan. He was the Symposium Chair of the IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS) in 2009, 2011, and 2013.