IEEE CIS Robotics TF

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

Chair: János Botzheim, Eötvös Loránd University, Hungary,
Vice-Chair: Wei Hong Chin, Tokyo Metropolitan University, Japan,


  • Chee Seng Chan, University of Malaya, Malaysia
  • Chu Kiong Loo, University of Malaya, Malaysia
  • Hiroyuki Masuta, Toyama Prefectural University, Japan
  • Naoki Masuyama, Osaka Prefecture University, Japan
  • 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’s University Belfast, UK
  • Aysegul Ucar, Firat University, Turkey

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.

Planned Activities for 2022:

Activities in 2021: