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- W4309489912 abstract "Deploying autonomous robots capable of exploring unknown environments has long been a topic of great relevance to the robotics community. In this work, we take a further step in that direction by presenting an open-source active visual SLAM framework that leverages the accuracy of a state-of-the-art graph-SLAM system and takes advantage of the fast utility computation that exploiting the structure of the underlying pose-graph offers. We achieve fast decision making through careful estimation of a posteriori weighted pose-graphs and by employing a utility function that balances exploration and exploitation principles." @default.
- W4309489912 created "2022-11-28" @default.
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- W4309489912 date "2022-11-19" @default.
- W4309489912 modified "2023-10-02" @default.
- W4309489912 title "ExplORB-SLAM: Active Visual SLAM Exploiting the Pose-graph Topology" @default.
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- W4309489912 doi "https://doi.org/10.1007/978-3-031-21065-5_17" @default.
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