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

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

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

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

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https://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#table-of-contents
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Requirementshttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#requirements
Documentationhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#documentation
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Localizationhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#localization
Extended Kalman Filter localizationhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#extended-kalman-filter-localization
Particle filter localizationhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#particle-filter-localization
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Ray casting grid maphttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#ray-casting-grid-map
k-means object clusteringhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#k-means-object-clustering
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SLAMhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#slam
Iterative Closest Point (ICP) Matchinghttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#iterative-closest-point-icp-matching
FastSLAM 1.0https://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#fastslam-10
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Dijkstra algorithmhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#dijkstra-algorithm
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Probabilistic Road-Map (PRM) planninghttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#probabilistic-road-map-prm-planning
Rapidly-Exploring Random Trees (RRT)https://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#rapidly-exploring-random-trees-rrt
RRT*https://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#rrt
RRT* with reeds-sheep pathhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#rrt-with-reeds-sheep-path
LQR-RRT*https://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#lqr-rrt
Quintic polynomials planninghttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#quintic-polynomials-planning
Reeds Shepp planninghttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#reeds-shepp-planning
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Optimal Trajectory in a Frenet Framehttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#optimal-trajectory-in-a-frenet-frame
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move to a pose controlhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#move-to-a-pose-control
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Linear–quadratic regulator (LQR) speed and steering controlhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#linearquadratic-regulator-lqr-speed-and-steering-control
Model predictive speed and steering controlhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#model-predictive-speed-and-steering-control
Nonlinear Model predictive control with C-GMREShttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#nonlinear-model-predictive-control-with-c-gmres
Arm Navigationhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#arm-navigation
N joint arm to point controlhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#n-joint-arm-to-point-control
Arm navigation with obstacle avoidancehttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#arm-navigation-with-obstacle-avoidance
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drone 3d trajectory followinghttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#drone-3d-trajectory-following
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bipedal planner with inverted pendulumhttps://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#bipedal-planner-with-inverted-pendulum
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https://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#what-is-this
[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
https://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#requirements
cvxpyhttp://www.cvxpy.org/en/latest/
https://patch-diff.githubusercontent.com/kingdouustc/PythonRobotics#documentation
https://pythonrobotics.readthedocs.io/https://pythonrobotics.readthedocs.io/
AtsushiSakai/PythonRoboticsGifs: Animation gifs of PythonRoboticshttps://github.com/AtsushiSakai/PythonRoboticsGifs
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PROBABILISTIC ROBOTICShttp://www.probabilistic-robotics.org/
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PROBABILISTIC ROBOTICShttp://www.probabilistic-robotics.org/
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Introduction to Mobile Robotics: Iterative Closest Point Algorithmhttps://cs.gmu.edu/~kosecka/cs685/cs685-icp.pdf
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PROBABILISTIC ROBOTICShttp://www.probabilistic-robotics.org/
SLAM simulations by Tim Baileyhttp://www-personal.acfr.usyd.edu.au/tbailey/software/slam_simulations.htm
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A Tutorial on Graph-Based SLAMhttp://www2.informatik.uni-freiburg.de/~stachnis/pdf/grisetti10titsmag.pdf
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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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Probabilistic roadmap - Wikipediahttps://en.wikipedia.org/wiki/Probabilistic_roadmap
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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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LQR-RRT*: Optimal Sampling-Based Motion Planning with Automatically Derived Extension Heuristicshttp://lis.csail.mit.edu/pubs/perez-icra12.pdf
MahanFathi/LQR-RRTstar: LQR-RRT* method is used for random motion planning of a simple pendulum in its phase plothttps://github.com/MahanFathi/LQR-RRTstar
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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
Optimal trajectory generation for dynamic street scenarios in a Frenet Framehttps://www.youtube.com/watch?v=Cj6tAQe7UCY
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P. I. Corke, "Robotics, Vision and Control" | SpringerLink p102https://link.springer.com/book/10.1007/978-3-642-20144-8
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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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