]> 2026-04-04T09:17:43+02:00 Mining For Meanings In Robot Maps 0 en Master 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. Programming (preferably C++ or Python), Machine Learning, Data Mining. Bonus: Mobile Robots (kinematic/dynamic modeling), ROS. 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. Open Spring 2017 Mining For Meanings In Robot Maps 2016-10-26T10:43:22Z 2457687.9467824 Mining For Meanings In Robot Maps 0 [2,"smw-datavalue-property-restricted-annotation-use","Keywords"] Mining For Meanings In Robot Maps# ERRd9c33d5ac8a89308063e13c4b212fa7c