The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation

arXiv: Robotics, Volume abs/1802.08824, 2018.

Cited by: 11|Bibtex|Views38
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Deep reinforcement learning (DRL) demonstrates its potential in learning a model-free navigation policy for robot visual navigation. However, the data-demanding algorithm relies on a large number of navigation trajectories in training. Existing datasets supporting training such robot navigation algorithms consist of either 3D synthetic sc...More

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