Julian Jocque

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Conventionally control can be achieved by attempting to simplify complex dynamics. The field of morphological computation explores how mechanical complexity can be advantageous. In this paper we demonstrate morphological computation in tensegrity robots. We present a novel approach to tensegrity actuation and explore the capabilities of our self-evolving(More)
In this paper I will detail my senior thesis work done on modeling opponents in board games using the estimation exploration algorithm. The paper first explains background knowledge to explain concepts relevant to the project. From there I build an outline of a system that could be used to model opponents in konane using the estimation exploration(More)
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