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In recent years, we have been developing a set of heuristics or design principles, that on the one hand capture theoretical insights about intelligent – adaptive – behavior, and on the other provide guidance in actually designing and building systems. In the past the focus in the field of robotics has been on precision, speed, and controllability; more recently there has been an increasing interest in adaptivity, learning, and autonomy. Design principle overview : Synthetic methodology, Emergence Systems should be designed for emergence (for increased adaptivity). If we are interested in designing adaptive systems we should aim for emergence. The term emergence is controversial, but we use it in a very pragmatic way, in the sense of not being preprogrammed. The diversity-compliance principle. Intelligent agents are characterized by the fact that they are on the one hand exploiting the specifics of their ecological niche and on the other by behavioral diversity. The principle of cheap design. Designs must be parsimonious, and exploit the physics and the constraints of the ecological niche. Sensory systems In previous papers we have investigated in detail he effect of changing sensor morphology on neural processing (e.g. Lichtensteiger and Eggenberger, 1999; Maris and te Boekhorst, 1996; Pfeifer, 2000a, b; Pfeifer and Scheier, 1999). Here we only summarize the main results; for details, the reader is referred to the literature. Designing embodied agents using artificial evolution and morphogenesis. The quadruped “Puppy”. (a) Picture of entire “puppy”. (b) The spring system in the hind legs. (c) Diagram showing joints, servomotor actuated joints [circles with crosses], and flexible spine [dotted line].

Tags : diversity compliance, behavioral diversity, robotics design, ecological niche, synthetic methodology, artificial evolution, theoretical insights, design principle, hind legs, scheier, spring system, eggenberger, sensory systems, adaptive systems, adaptive behavior
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