Title: Intelligence and Cognition for Robotics
Abstract: The discussion on cognition, intelligence, consciousness, and self has a long
history. Robotics can be considered as a study on understanding human behaviors and
building artificial physical agents. In this tutorial, I talk about the research direction on
robotics from historical point of view. First, I explain traditional problems on map
building and path planning of mobile robots. One of the most important problems is
simultaneous localization and mapping. Next, I explain various types of robotic
researches, e.g., behavior-based robotics, cognitive robotics, and distributed robotics.
The study on intelligent robotics tries to realize individual function or method related with search, reasoning, planning, recognition, knowledge acquisition, and learning, while the study on
cognitive robotics deals with holistic mechanism related with cognitive phenomena such as perception,
attention, reasoning, planning, memory, and learning based on constructivism. I explain three research
directions of cognitive robotics; (1) cognitive development, (2) behavior acquisition, and (3) social
communication. Computational intelligence including fuzzy, neural, and evolutionary computation plays the
important role to realize cognitive development of robot partners from the methodological point of view.
Nowadays, 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. We have to deal with huge size
of data and information received and measured from different types of sensors, robots, smart devices, Internet,
and others simultaneously. Therefore, the environment surrounding people and robots should have a structured
platform for gathering, storing, transforming, and providing information. Such an environment is called
informationally structured space. The informationally structured space is constructed through interdependent
and complementary information sharing among robot partners and wireless sensor nodes in a house. Robot
partners should have human-like intelligence and cognitive capabilities to co-exist, communicate, and interact
with people. We show several examples of cognitive robotics and feasibility studies using robot partners. We
have been developing different types of robot partners called iPhonoid and iPadrone using smart devices.
These robot partners are interconnected through the informationally structured space each other. Finally, we
discuss the future direction of intelligent robotics and cognitive robotics based on informationally structured
Naoyuki Kubota graduated from Osaka Kyoiku University in 1992, received the M.E. degree from Hokkaido
University in 1994, and received the D.E. degree from Nagoya University, Japan in 1997. He was the assistant
professor and lecturer at the Department of Mechanical Engineering, Osaka Institute of Technology, Japan,
from 1997 to 2000. He joined the Department of Human and Artificial Intelligence Systems, Fukui University,
Japan, as an associate professor in 2000. He joined the Department of Mechanical Engineering, Tokyo
Metropolitan University, Japan, as an associate professor in 2004. He was an associate professor from 2005
to 2012 at the Department of System Design in Tokyo Metropolitan University, Japan. He is currently the
Vice Director of the Research Center for Community Centric Systems, and a professor of the Department of
System Design, Tokyo Metropolitan University, Japan. He was a visiting professor at University of
Portsmouth, UK in 2007, and an invited visiting professor at Seoul National University from 2009 to 2012.
His current interests are in the fields of cognitive robotics, robot partners, computational intelligence, and
informationally structured space. He has published more than 300 refereed journal and conference papers in
the above research fields.