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• W2299043247 abstract "Ideas from biological information processing have influenced numerous robot control architectures. Most of them draw their inspiration from neural networks. Many cognitive capabilities can only be understood from a system level perspective that integrates body, control, and envrionment. This insight led to robot designs that exploit the physical characteristics of a robots’ body [1]. If one takes the direction of these investigations further, one arrives at the point where control is not only exploiting the physics of the body, but is in itself directly driven by physics. Arguably this step is necessary to narrow the performance gap between man-made devices and biological systems. All organisms require information processing to defend their intricate organisation against the onslaught physical entropy. As a consequence organisms exhibit an intriguing sophistication in overcoming computationally difficult challenges. This is the case even for simple life forms and individual cells." @default.
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• W2299043247 date "2009-01-01" @default.
• W2299043247 modified "2023-09-26" @default.
• W2299043247 title "Integration of Cellular Biological Structures Into Robotic Systems" @default.
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