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Bayesian Optimisation has received considerable attention in recent years as a general methodology to find the maximum of costly-to-evaluate objective functions. Most existing BO work fo-cuses on where to gather a set of samples without giving special consideration to the sampling sequence, or the costs or constraints associated with that sequence. However,(More)
—A key challenge for long-term autonomy is to enable a robot to automatically model properties of the environment while actively searching for better decisions to accomplish its task. This amounts to the problem of exploration-exploitation in the context of active perception. This paper addresses active perception and presents a technique to incrementally(More)
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