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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -36,6 +36,7 @@ Simultaneous Localization and Mapping, also known as SLAM, is the computational


### Courses, Lectures and Workshops
- [Probabilistic Robotics - Sapienza](https://sites.google.com/dis.uniroma1.it/probabilistic-robotics/home?authuser=0) by Giorgio Grisetti (2018)
- [SLAM Tutorial@ICRA 2016](http://www.dis.uniroma1.it/~labrococo/tutorial_icra_2016/)
- [Geometry and Beyond - Representations, Physics, and Scene Understanding for Robotics](http://rss16-representations.mit.edu/) at Robotics: Science and Systems (2016)
- [Robotics - UPenn](https://www.coursera.org/specializations/robotics) on Coursera by Vijay Kumar (2016)
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- [Wolfram Burgard](http://www2.informatik.uni-freiburg.de/~burgard/)
- [Jose Neira](webdiis.unizar.es/~neira/)
- [Davide Scaramuzza](http://rpg.ifi.uzh.ch/people_scaramuzza.html)
- [Cyrill Stachniss](http://www.ipb.uni-bonn.de/people/cyrill-stachniss/)
- [Giorgio Grisetti](https://sites.google.com/dis.uniroma1.it/grisetti)

#### Australia
- [Cesar Cadena](http://cs.adelaide.edu.au/~cesar/)
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5. [SVO: Semi-Direct Monocular Visual Odometry](https://github.com/uzh-rpg/rpg_svo)
6. [G2O: General Graph Optimization](https://github.com/RainerKuemmerle/g2o)
7. [RGBD-SLAM](https://github.com/felixendres/rgbdslam_v2)
8. [ProSLAM](https://gitlab.com/srrg-software/srrg_proslam)


### Miscellaneous
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