Mining For Meanings In Robot Maps
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| Title | Mining For Meanings In Robot Maps |
|---|---|
| Summary | 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. |
| Keywords | robotics, mapping, semantic maps, unsupervised semantic mapping, data mining, kinematic model, situation-awareness.Property "Keywords" has a restricted application area and cannot be used as annotation property by a user. |
| TimeFrame | Spring 2017 |
| References | 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. |
| Prerequisites | Programming (preferably C++ or Python), Machine Learning, Data Mining. Bonus: Mobile Robots (kinematic/dynamic modeling), ROS. |
| Author | |
| Supervisor | Saeed Gholami Shahbandi, bj |
| Level | |
| Status |
