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Morphologically Computing Soft Robots toward Self-Organizing Machines

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Self-organisation is one of the main design principles of biological systems. Starting from development of musculosekeletal systems, and learning of sensory and nervous stimuli, to the formation of molecular structures from genetic information, everything in biological systems is continuously changing over time and self-organising to maintain the living processes. In contrast, conventional robotic systems are generally composed of rigid materials such as aluminium, plastic and silicon wafer, and robotics engineers always attempt to minimize the deformation and changes of physical morphologies of the systems. In this seminar, I will discuss the role of physical soft body deformation, and more generally embodiment, in the context of building physically intelligent adaptive systems, by introducing some initial work showing how they can be technologically achieved.

This talk is part of the Computer Laboratory Wednesday Seminars series.

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