N. Jungclaus et al., AN ARCHITECTURE FOR DISTRIBUTED VISUAL MEMORY, Zeitschrift fur Naturforschung. C, A journal of biosciences, 53(7-8), 1998, pp. 550-559
The development of autonomous as well as situated robots is one of the
great remaining challenges and involves a number of different scienti
fic disciplines. In spite of recent dramatic progress, it remains wort
hwhile to examine natural systems, because their abilities are still o
ut of reach. Motivated by research work done in the fields of cognitiv
e systems, visual perception, and psychology of memory we designed and
implemented a memory architecture for visual tasks. Structural and fu
nctional concepts of the memory architecture were modeled on the ones
found in natural systems. We present an efficient implementation based
on parallel programming techniques. The memory module is integrated i
nto a distributed system for speech and image analysis, which is curre
ntly developed in the Sonderforschungsbereich (SFB) 360, Situated Arti
ficial Communicators, where a hybrid vision system combining neural an
d semantic networks is used.