Web: http://arxiv.org/abs/2208.08307

Sept. 16, 2022, 1:15 a.m. | Lukas Schmid, Mansoor Nasir Cheema, Victor Reijgwart, Roland Siegwart, Federico Tombari, Cesar Cadena

cs.CV updates on arXiv.org arxiv.org

Exploration of unknown environments is a fundamental problem in robotics and
an essential component in numerous applications of autonomous systems. A major
challenge in exploring unknown environments is that the robot has to plan with
the limited information available at each time step. While most current
approaches rely on heuristics and assumption to plan paths based on these
partial observations, we instead propose a novel way to integrate deep learning
into exploration by leveraging 3D scene completion for informed, safe, …

arxiv exploration incremental mapping planning

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