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

Organizers:
Janos Botzheim, Graduate School of System Design, Tokyo Metropolitan University, Japan, botzheim@tmu.ac.jp
Chu Kiong Loo, Faculty of Computer Science and Information Technology University of Malaya, Malaysia, ckloo.um@um.edu.my
Naoyuki Kubota, Graduate School of System Design, Tokyo Metropolitan University, Japan, kubota@tmu.ac.jp