In this paper, we propose a viewpoint planning method for object identification. We introduce the policy of maximizing the posterior probability of the orientation of an object observed after a robot moves its viewpoint and show a novel formulation of viewpoint planning. In addition, we propose criteria for viewpoint selection based on past sensing experience. Finally, we confirm the effectiveness of the proposed method via simulations using a mobile manipulator.

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