IEEE Computational Intelligence Society
Intelligent Systems Applications Technical Committee
Robotics Task Force


Chair: Chu Kiong Loo, University of Malaya, Malaysia, ckloo.um@um.edu.my
Vice-Chair(s): Janos Botzheim, Tokyo Metropolitan University, Japan, botzheim@tmu.ac.jp
Members:
Chee Seng Chan, University of Malaya, Malaysia        
Ryad Chellali, Nanjing University of Technology, China
Sung-Bae Cho, Yonsei University, Korea
Richard J. Duro, Universidade da Coruña, Spain
M. Reza Emami, University of Tronto, Canada       
Samir Garbaya, Arts et Metiers ParisTech, France
Dongbing Gu, University of Essex, UK
Jason Gu, Dalhouise University, Canada
Min Jiang, Xiamen University, China   
Zhaojie Ju, University of Portsmouth, UK
Kyung-Joong Kim, Sejong University, Korea
Kheng Lee Koay, University of Hertfordshire, UK
Robert Kozma, University of Memphis, USA
Naoyuki Kubota, Tokyo Metropolitan University, Japan
Honghai Liu, University of Portsmouth, UK
Qinggang Meng, Loughborough University, UK               
Tetsuya Ogata, Waseda University, Japan
Kazuhiro Ohkura, Hiroshima Uiversity, Japan       
Paolo Remagnino, Kingston University London, UK
Lakmal Seneviratne, King's College London, UK       
Georgy Sofronov, Macquarie University, Australia
Simon X. Yang, University of Guelph, Canada       
Huiyu Zhou, Queenfs University Belfast, UK

Scope and Mission of the Task Force:
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. 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. Computational intelligence techniques, such as 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. The mission of Robotics task force is to promote the latest development 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.

Activities in 2015:
•    IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS 2015), SSCI 2015
•    Special session on Evolutionary Computation for Cognitive Robotics, IEEE CEC 2015
•    Seminars at Research Center for Community Centric Systems
•    International Workshop on Community Centric Systems

Planned Activities for 2016:
•    IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS 2016), SSCI 2016
•    Special session on Cognitive Robotics, IEEE WCCI 2016
•    The 9th International Conference on Intelligent Robotics and Applications
•    Second International Workshop on Community Centric Systems