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

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

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

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

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[1808.10703] PythonRobotics: a Python code collection of robotics algorithmshttps://arxiv.org/abs/1808.10703
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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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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
Automatic Steering Methods for Autonomous Automobile Path Trackinghttps://www.ri.cmu.edu/pub_files/2009/2/Automatic_Steering_Methods_for_Autonomous_Automobile_Path_Tracking.pdf
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A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicleshttps://arxiv.org/abs/1604.07446
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Towards fully autonomous driving: Systems and algorithms - IEEE Conference Publicationhttp://ieeexplore.ieee.org/document/5940562/
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