Nonmyopic View Planning for Active Object Classification and Pose Estimation

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The limits and potentials of deep learning for robotics (2018, background): “Some work is undertaken in the area of next-best view-point prediction to improve object detection [5], [25], [73], [130] or path planning for exploration on a mobile robot [14], but a more holistic approach to active scene understanding is still missing from current research.”
Active vision for dexterous grasping of novel objects (2016, background): “Active perception has also been applied to object recognition [2], and to touch for grasping under uncertainty [19], [22].”
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd (2015, methodology): “There have been various methods proposed for computing the entropy reduction [2, 9, 33].”
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers (2022, background): “Active object-level SLAM has been considered in [93], [94].”
Deep active object recognition by joint label and action prediction (2015, background): “focus on the comparison of myopic greedy action selection that looks ahead only one step and non-myopic action selection which considers several time steps into the future [12].”