Abstract
Can evolutionary principles be used to automatically design and manufacture physical machines and discover new concepts not foreseen by human engineers? Fully automated design and manufacture has long been the Holy Grail of the CAD/CAM field. In this research we explore some directions of this prospect. We evolve machines for specified tasks and replicate them into reality, thereby establishing for the first time a complete physical evolutionary design cycle into reality. To create a minimally biased design space, only two low-level building blocks are used: linear actuation elements and sigmoidal control neurons. These elements can assemble together to give rise to a universe of possible forms of controlled machines with rigid and flexible components. Quasi-static motion is then used to simulate low momentum behavior, including flexion, material failure, collision and friction. Selected machines are then automatically replicated into reality using rapid prototyping techniques. The automatically designed and manufactured machines then perform in reality. The paper discusses this approach and provides examples of both virtual and real machines evolved for the task of locomotion.
Towards escape velocity
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Lipson, H., Pollack, J.B. (2000). Evolution of Physical Machines. In: Gero, J.S. (eds) Artificial Intelligence in Design ’00. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4154-3_14
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DOI: https://doi.org/10.1007/978-94-011-4154-3_14
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