We believe not special local processing algorithms and dynamics but how <

br>the brain organizes processing is the key to enable that marvelous perfo

rm- ance and robustness in sensory understanding and creating smart behavio

r
in an unpredictable environment which is still unparalleled by any t

echnical
system. Therefore the major focus of our approach is on the gl

obal and local
control in the brain that enables autonomous learning and
the self-organization
of knowledge representation. We target the contro

l architecture of brain-like
intelligent systems at microscopic mesosco

pic and macroscopic level in
parallel whereby special emphasis is put o

n the utilization of insights from
phylogenetic and ontogenetic developm

ent. Step by step we try to assemble
systems that interact with the envi

ronment and that provide us with the
necessary feedback on the role of a

rchitectural constraints and dynamics of
the brain.

Finally to a

ddress the global control architecture we integrate visual and
auditory
recognition with autonomous behavior generation on ASIMO for a
step by

step development of individual cognitive capabilities based on the
pract