Architecture for humananoid robots: emulation of biological processes
To achieve better understanding of the processing of information with humans, which is processing in the brain, we can help with the construction and study of robotic systems which are human like. Three views to this topic will be presented in this lecture; behaviorist, integration of systems, the organization of flow and processing of information. The suggested architecture is based on a decentralized and cooperative processing of information. These processes can be serial or parallel, with forward and backward links. From here a complex network between interlinked and dependent process elements can be established. On the basis of the sensory input and output movements, the system generates more complex operations and decisions. The results of the research which will be presented during the lecture are based on the research in many other disciplines: humanoid robotics for integration and implementation of the system, neuroscience for the organization of the flux in the processing of information and nevropsychology for the evaluation of the systems behavior.
Author: Gordon Cheng, Atr Computational Neuroscience Laboratories