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Mining For Meanings In Robot Maps
Keywords robotics, mapping, semantic maps, unsupervised semantic mapping, data mining, kinematic model, situation-awareness.  +
Level Master  +
OneLineSummary 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.  +
Prerequisites Programming (preferably C++ or Python), Machine Learning, Data Mining. Bonus: Mobile Robots (kinematic/dynamic modeling), ROS.  +
References Pronobis, Andrzej, and Rajesh PN Rao. "LeaPronobis, 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.
StudentProjectStatus Open  +
Supervisors Saeed Gholami Shahbandi + , Björn Åstrand +
TimeFrame Spring 2017  +
Title Mining For Meanings In Robot Maps  +
Categories StudentProject  +
Modification dateThis property is a special property in this wiki. 26 October 2016 10:43:22  +
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