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On Some
Technical Challenges for Developing Smart Robots Prof. Suh
Il Hong, Hanyang University January 17, 2012 11:00 AM 302- 309 Abstract: One of the most renowned philosophers of our day,
Daniel Dennett, said in his book "Kinds of Minds" that our minds
are complex fabrics, woven from many different stands and incorporating many
different designs. Dennett has classified minds into four different types in
evolutionary perspective and the Gregorian creatures is the highest level of
mind, using language as a tool of both modeling and acquiring information for
survival. Now a day, robots such as Sony's AIBO, KAIST HUBO, and Honda's
ASIMO, has reached a high level of development stage in a sense of reaction
or regulation technology. And, the level of development of expertise and
planning, which are believed to be part of high-level intelligence, has also
reached a high level stage. However, the intelligence in this area is not
applicable to all tasks in its current stage but is restricted to specialized
applications as such as the Deep Blue, which is a professional system that
wins against world chess champions, or STRIPS, a task planning system. This
kind of planning intelligence for a restricted area can be seen as a narrow
AI. Thus, we can say that General and Practical AI abilities have not yet
been developed; therefore interaction, common sense, and vision, the
intelligence of Gregorian creatures, are in a relatively low stage of
technological development. This type of intelligence is naturally shown by
humans, but it is extremely difficult for robots to realize this area of
intelligence. This is because in the case of humans and other intelligent
animals, they have various computational modules considered as cognitive
substrates being utilized for various objectives that have been evolved over
a long time and which are all embedded in the brain. Unfortunately, such
specific modules that being currently used are not clear, and even if we
specifically know what modules are used, there are insufficient specific
knowledge on why those modules are used, and in particular how to model such
modules. In this talk, some necessary conditions for developing smart robots
are discussed by considering four levels of intelligence arising from
evolution. There will be discussed what are key features of intelligence at
each level of evolution, what has to be considered to implement each level of
intelligence, and what difficulties are expected in achieving natural forms
of robot intelligence. In addition, there will be shared some experiences for
challenging such natural forms of robot intelligence at INCORL, Hanyang
University... This page is
maintained by Yumi Yi (ymyi@bi.snu.ac.kr).
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