Open Course
Autonomous Navigation for Flying Robots (EdX course) © 2015 Technische Universität München @ Dr. Jürgen Sturm
Introduction to Mobile Robotics © 2017, 2018 Autonomous Intelligent Systems Lab at University of Freiburg @ Prof. Wolfram Burgard
Autonomous Mobile Robots © 2017 Autonomous Systems Lab at ETH
Vision Algorithms for Mobile Robotics © 2017 University of Zurich and ETH
Robot Mapping © 2017 Autonomous Intelligent Systems Lab at University of Freiburg @Prof. Wolfram Burgard, Dr Daniel Büscher, Dr Alexander Schaefer
Robotics Lecture Course © 2018 Imperial College London @ Prof. Andrew Davison
Autonomous Robot Navigation © 2011 Princeton University @ Prof. Christopher Clark
The open online robotics education resource © QUT Robot Academy @ Prof. Peter Corke
Neuronal Dynamics: From single neurons to networks and models of cognition (Laboratory of Computational Neuroscience at EPFL )
Computational Models of Neural Systems ©2017 CMU @ Professor Dave Touretzky
The Kalman Filter : Some tutorials, references, and research related to the Kalman filter. (Download the English Version or Download the Chinese Version)
3D Simultaneous Localization and Mapping and Navigation Planning for Mobile Robots in Complex Environments. June 28, 2017. By Professor Sven Behnke, University of Bonn, Germany
3D Drone Localization and Mapping. Oct.10 ,2018. By Prof. Ioannis Pitas, Aristotle University of Thessaloniki. Contributors: J.M.M. Montiel (University of Zaragoza), J. Ramiro Martinez-de Dios (University of Seville), E. Kakaletsis, N. Nikolaidis (Aristotle University of Thessaloniki)
3D Motion Estimation. Oct.10 ,2018. By Prof. Ioannis Pitas, Aristotle University of Thessaloniki.
COGNITIVE VEHICLES WORKSHOP // IROS 2019
Introduction to Neuroscience: Systems Neuroscience (2018-2019) by Prof. Nachum Ulanovsky, etc. @Weizmann Institute of Science
Useful Books
Thrun Sebastian, Wolfram Burgard, and Dieter Fox. Probabilistic Robotics. MIT press, 2005.
Peter Corke. Robotics, Vision and Control: Fundamental Algorithms in MATLAB (Second Edition). Springer, 2017.
Richard Hartley, Andrew Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2003.
Timothy D. Barfoot. State Estimation for Robotics. Cambridge University Press, 2017.
Michael Milford. Robot Navigation from Nature: Simultaneous Localisation, Mapping, and Path Planning Based on Hippocampal Models. Springer-Verlag Berlin Heidelberg Press, 2008.
Wulfram Gerstner and Werner M. Kistler. Spiking Neuron Models: Single Neurons, Populations, Plasticity. Cambridge University Press, 2002.
Wulfram Gerstner, Werner M. Kistler, Richard Naud and Liam Paninski. Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition. Cambridge University Press, 2014.
Daniel J. Amit. Modeling Brain Function: The World of Attractor Neural Networks. Cambridge University Press, 1989
Arne D. Ekstrom, Hugo J. Spiers, Véronique D. Bohbot & R. Shayna Rosenbaum. Human Spatial Navigation. Princeton University Press, 2018.
Derdikman, Dori, and James J. Knierim, eds. Space, Time and Memory in the Hippocampal Formation. Springer, 2014.
Steve Furber (ed.), Petrut Bogdan (ed.) (2020), “SpiNNaker: A Spiking Neural Network Architecture“, Boston-Delft: now publishers, http://dx.doi.org/10.1561/9781680836523
Edmund T. Rolls. (2020). Brain Computations: What and How. Oxford University Press. Author’s Homepage
Datasets
TUM Monocular Visual Odometry Dataset @TUM
TUM Visual-Inertial Dataset @TUM
RGB-D SLAM Dataset and Benchmark @TUM
Blog & News
Blog of Insect and Robot Navigation
The Nobel Prize in Physiology or Medicine 2014 John O’Keefe, May-Britt Moser, Edvard I. Moser
Tips of Research and Learning
Learning How to Learn. ©2017 University of California, San Diego @Dr. Barbara Oakley and Dr. Terrence Sejnowski
Tutorials
Robotics & Automation Magazine tutorials cover important and topical issues in robotics and are written by leading experts in the field. Recent tutorials include:
- Pursuit Evasion: Tutorial
- Visual Servoing: Part 1, Part 2
- SLAM: Part 1, Part 2
- 6D Vectors: Part 1, Part 2
- Planning: Part 1, Part 2
- Visual Odometry: Part 1, Part 2
- Point Cloud Library: Tutorial
- Quadtrotors: Tutorial
More info on Robotics & Automation Magazine
Open Source Code
SLAM Simulations (EKF-SLAM, FastSLAM 1.0, FastSLAM 2.0 and UKF-SLAM)
OctoMap: An Efficient Probabilistic 3D Mapping Framework Based on Octrees
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