| Keywords
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robotics, mapping, semantic maps, unsupervised semantic mapping, data mining, kinematic model, situation-awareness. +
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| Level
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Master +
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| OneLineSummary
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To build a hybrid map by augmenting the intrinsic kinematic model of a mobile robot to a spatial map, and semi-supervised learning of meanings towards self/situation awareness. +
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| Prerequisites
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Programming (preferably C++ or Python), Machine Learning, Data Mining. Bonus: Mobile Robots (kinematic/dynamic modeling), ROS. +
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| References
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Pronobis, Andrzej, and Rajesh PN Rao. "Lea … Pronobis, Andrzej, and Rajesh PN Rao. "Learning Deep Generative Spatial Models for Mobile Robots." arXiv preprint arXiv:1610.02627 (2016).
Khalil, Wisama, and Etienne Dombre. Modeling, identification and control of robots. Butterworth-Heinemann, 2004.
Shahbandi, Saeed Gholami, Björn Åstrand, and Roland Philippsen. "Semi-supervised semantic labeling of adaptive cell decomposition maps in well-structured environments." Mobile Robots (ECMR), 2015 European Conference on. IEEE, 2015., 2015 European Conference on. IEEE, 2015.
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| StudentProjectStatus
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Open +
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| Supervisors
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Saeed Gholami Shahbandi +
, Björn Åstrand +
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| TimeFrame
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Spring 2017 +
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| Title
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Mining For Meanings In Robot Maps +
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| Categories |
StudentProject +
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| Modification dateThis property is a special property in this wiki.
|
26 October 2016 10:43:22 +
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