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3D objects (artefacts) are made to fulfill functions. Designing an objectoften starts with defining a list of functionalities that it should provide,also known as functional requirements. Today, the design of 3D object models isstill a slow and largely artisanal activity, with few Computer-Aided Design(CAD) tools existing to aid the exploration of the design solution space. Toaccelerate the design process, we introduce an algorithm for generating objectshapes with desired functionalities. Following the concept of form followsfunction, we assume that existing object shapes were rationally chosen toprovide desired functionalities. First, we use an artificial neural network tolearn a function-to-form mapping by analysing a dataset of objects labeled withtheir functionalities. Then, we combine forms providing one or more desiredfunctions, generating an object shape that is expected to provide all of them.Finally, we verify in simulation whether the generated object possesses thedesired functionalities, by defining and executing functionality tests on it.

Automatic generation of object shapes with desired functionalities