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Title: GitHub - dxterpied/PythonRobotics: Python sample codes for robotics algorithms.

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Description: Python sample codes for robotics algorithms. Contribute to dxterpied/PythonRobotics development by creating an account on GitHub.

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X Description: Python sample codes for robotics algorithms. Contribute to dxterpied/PythonRobotics development by creating an account on GitHub.

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Extended Kalman Filter localizationhttps://patch-diff.githubusercontent.com/dxterpied/PythonRobotics#extended-kalman-filter-localization
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[1808.10703] PythonRobotics: a Python code collection of robotics algorithmshttps://arxiv.org/abs/1808.10703
BibTeXhttps://github.com/AtsushiSakai/PythonRoboticsPaper/blob/master/python_robotics.bib
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Optimal rough terrain trajectory generation for wheeled mobile robotshttp://journals.sagepub.com/doi/pdf/10.1177/0278364906075328
State Space Sampling of Feasible Motions for High-Performance Mobile Robot Navigation in Complex Environmentshttp://www.frc.ri.cmu.edu/~alonzo/pubs/papers/JFR_08_SS_Sampling.pdf
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Incremental Sampling-based Algorithms for Optimal Motion Planninghttps://arxiv.org/abs/1005.0416
Sampling-based Algorithms for Optimal Motion Planninghttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.419.5503&rep=rep1&type=pdf
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Local Path Planning And Motion Control For Agv In Positioninghttp://ieeexplore.ieee.org/document/637936/
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15.3.2 Reeds-Shepp Curveshttp://planning.cs.uiuc.edu/node822.html
optimal paths for a car that goes both forwards and backwardshttps://pdfs.semanticscholar.org/932e/c495b1d0018fd59dee12a0bf74434fac7af4.pdf
ghliu/pyReedsShepp: Implementation of Reeds Shepp curve.https://github.com/ghliu/pyReedsShepp
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Optimal Trajectory Generation for Dynamic Street Scenarios in a Frenet Framehttps://www.researchgate.net/profile/Moritz_Werling/publication/224156269_Optimal_Trajectory_Generation_for_Dynamic_Street_Scenarios_in_a_Frenet_Frame/links/54f749df0cf210398e9277af.pdf
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Stanley: The robot that won the DARPA grand challengehttp://robots.stanford.edu/papers/thrun.stanley05.pdf
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Towards fully autonomous driving: Systems and algorithms - IEEE Conference Publicationhttp://ieeexplore.ieee.org/document/5940562/
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