Richard A Watson, Sevan G Ficici, Jordan B Pollack, 1998
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The vision of a population of robots evolving autonomously, articulated by Harvey, 1995, (Vision) describes a method for evolving robot controllers that we will call Embodied Evolution, EE (Definition). There are several advantages for this approach to evolutionary robotics (Motives/Background) especially in the study of multi-agent interaction. However, it is immediately apparent that there are several problematic technological requirements for Embodied Evolution (see Tupperbots, Continuous Untethered Power), and there is considerable algorithmic detail that must be added to this vision before EE is workable (Evolutionary Algorithm). However, this work reports initial experiments (Task Environment) that have realized this vision successfully (Experimental Results) - providing proof of concept for Embodied Evolution.