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@graphml

Graph Machine Learning

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Publié28 janv.28/01/2021 11:59
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RoboGrammar: Graph Grammar for Terrain-Optimized Robot Design (video) A recent work done at MIT for constructing different robot designs via graph grammar. Graph grammars were introduced in 1992 and defines a set of rules of transforming one graph to another. With this, a user can specify input robot components as well as the type of the terrain and graph grammar will produce possible robot designs. Next, a variation of A* algorithm is used to search for the optimal robot design for a given terrain. More on this in this article.