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Title: GitHub - zgu489/PythonRobotics: Python sample codes for robotics algorithms.

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Description: Python sample codes for robotics algorithms. Contribute to zgu489/PythonRobotics development by creating an account on GitHub.

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X Description: Python sample codes for robotics algorithms. Contribute to zgu489/PythonRobotics development by creating an account on GitHub.

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	https://github.com/zgu489/PythonRobotics#table-of-contents
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Localization	https://github.com/zgu489/PythonRobotics#localization
Extended Kalman Filter localization	https://github.com/zgu489/PythonRobotics#extended-kalman-filter-localization
Particle filter localization	https://github.com/zgu489/PythonRobotics#particle-filter-localization
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FastSLAM 1.0	https://github.com/zgu489/PythonRobotics#fastslam-10
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Nonlinear Model predictive control with C-GMRES	https://github.com/zgu489/PythonRobotics#nonlinear-model-predictive-control-with-c-gmres
Arm Navigation	https://github.com/zgu489/PythonRobotics#arm-navigation
N joint arm to point control	https://github.com/zgu489/PythonRobotics#n-joint-arm-to-point-control
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drone 3d trajectory following	https://github.com/zgu489/PythonRobotics#drone-3d-trajectory-following
rocket powered landing	https://github.com/zgu489/PythonRobotics#rocket-powered-landing
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bipedal planner with inverted pendulum	https://github.com/zgu489/PythonRobotics#bipedal-planner-with-inverted-pendulum
License	https://github.com/zgu489/PythonRobotics#license
Use-case	https://github.com/zgu489/PythonRobotics#use-case
Contribution	https://github.com/zgu489/PythonRobotics#contribution
Citing	https://github.com/zgu489/PythonRobotics#citing
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Sponsors	https://github.com/zgu489/PythonRobotics#Sponsors
JetBrains	https://github.com/zgu489/PythonRobotics#JetBrains
Authors	https://github.com/zgu489/PythonRobotics#authors
	https://github.com/zgu489/PythonRobotics#what-is-this
[1808.10703] PythonRobotics: a Python code collection of robotics algorithms	https://arxiv.org/abs/1808.10703
BibTeX	https://github.com/AtsushiSakai/PythonRoboticsPaper/blob/master/python_robotics.bib
	https://github.com/zgu489/PythonRobotics#requirements
Python 3.10.x	https://www.python.org/
NumPy	https://numpy.org/
SciPy	https://scipy.org/
Matplotlib	https://matplotlib.org/
pandas	https://pandas.pydata.org/
cvxpy	https://www.cvxpy.org/
	https://github.com/zgu489/PythonRobotics#documentation
Welcome to PythonRobotics’s documentation! — PythonRobotics documentation	https://atsushisakai.github.io/PythonRobotics/index.html
AtsushiSakai/PythonRoboticsGifs: Animation gifs of PythonRobotics	https://github.com/AtsushiSakai/PythonRoboticsGifs
	https://github.com/zgu489/PythonRobotics#how-to-use
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	https://github.com/zgu489/PythonRobotics#localization
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	https://github.com/zgu489/PythonRobotics#particle-filter-localization
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/Localization/particle_filter/animation.gif
PROBABILISTIC ROBOTICS	http://www.probabilistic-robotics.org/
	https://github.com/zgu489/PythonRobotics#histogram-filter-localization
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/Localization/histogram_filter/animation.gif
PROBABILISTIC ROBOTICS	http://www.probabilistic-robotics.org/
	https://github.com/zgu489/PythonRobotics#mapping
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	https://github.com/zgu489/PythonRobotics#iterative-closest-point-icp-matching
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/SLAM/iterative_closest_point/animation.gif
Introduction to Mobile Robotics: Iterative Closest Point Algorithm	https://cs.gmu.edu/~kosecka/cs685/cs685-icp.pdf
	https://github.com/zgu489/PythonRobotics#fastslam-10
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/SLAM/FastSLAM1/animation.gif
PROBABILISTIC ROBOTICS	http://www.probabilistic-robotics.org/
SLAM simulations by Tim Bailey	http://www-personal.acfr.usyd.edu.au/tbailey/software/slam_simulations.htm
	https://github.com/zgu489/PythonRobotics#path-planning
	https://github.com/zgu489/PythonRobotics#dynamic-window-approach
The Dynamic Window Approach to Collision Avoidance	https://www.ri.cmu.edu/pub_files/pub1/fox_dieter_1997_1/fox_dieter_1997_1.pdf
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/DynamicWindowApproach/animation.gif
	https://github.com/zgu489/PythonRobotics#grid-based-search
	https://github.com/zgu489/PythonRobotics#dijkstra-algorithm
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/Dijkstra/animation.gif
	https://github.com/zgu489/PythonRobotics#a-algorithm
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/AStar/animation.gif
	https://github.com/zgu489/PythonRobotics#d-algorithm
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/DStar/animation.gif
D* Algorithm Wikipedia	https://en.wikipedia.org/wiki/D*
	https://github.com/zgu489/PythonRobotics#d-lite-algorithm
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/DStarLite/animation.gif
D* Lite	http://idm-lab.org/bib/abstracts/papers/aaai02b.pd
Improved Fast Replanning for Robot Navigation in Unknown Terrain	http://www.cs.cmu.edu/~maxim/files/dlite_icra02.pdf
	https://github.com/zgu489/PythonRobotics#potential-field-algorithm
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/PotentialFieldPlanning/animation.gif
Robotic Motion Planning:Potential Functions	https://www.cs.cmu.edu/~motionplanning/lecture/Chap4-Potential-Field_howie.pdf
	https://github.com/zgu489/PythonRobotics#grid-based-coverage-path-planning
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/GridBasedSweepCPP/animation.gif
	https://github.com/zgu489/PythonRobotics#state-lattice-planning
Optimal rough terrain trajectory generation for wheeled mobile robots	http://journals.sagepub.com/doi/pdf/10.1177/0278364906075328
State Space Sampling of Feasible Motions for High-Performance Mobile Robot Navigation in Complex Environments	http://www.frc.ri.cmu.edu/~alonzo/pubs/papers/JFR_08_SS_Sampling.pdf
	https://github.com/zgu489/PythonRobotics#biased-polar-sampling
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/StateLatticePlanner/BiasedPolarSampling.gif
	https://github.com/zgu489/PythonRobotics#lane-sampling
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/StateLatticePlanner/LaneSampling.gif
	https://github.com/zgu489/PythonRobotics#probabilistic-road-map-prm-planning
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/ProbabilisticRoadMap/animation.gif
Probabilistic roadmap - Wikipedia	https://en.wikipedia.org/wiki/Probabilistic_roadmap
	https://github.com/zgu489/PythonRobotics#rapidly-exploring-random-trees-rrt
	https://github.com/zgu489/PythonRobotics#rrt
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/RRTstar/animation.gif
Incremental Sampling-based Algorithms for Optimal Motion Planning	https://arxiv.org/abs/1005.0416
Sampling-based Algorithms for Optimal Motion Planning	http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.419.5503&rep=rep1&type=pdf
	https://github.com/zgu489/PythonRobotics#rrt-with-reeds-shepp-path
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/RRTStarReedsShepp/animation.gif
	https://github.com/zgu489/PythonRobotics#lqr-rrt
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/LQRRRTStar/animation.gif
LQR-RRT*: Optimal Sampling-Based Motion Planning with Automatically Derived Extension Heuristics	http://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 plot	https://github.com/MahanFathi/LQR-RRTstar
	https://github.com/zgu489/PythonRobotics#quintic-polynomials-planning
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/QuinticPolynomialsPlanner/animation.gif
Local Path Planning And Motion Control For Agv In Positioning	http://ieeexplore.ieee.org/document/637936/
	https://github.com/zgu489/PythonRobotics#reeds-shepp-planning
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/ReedsSheppPath/animation.gif?raw=true
15.3.2 Reeds-Shepp Curves	http://planning.cs.uiuc.edu/node822.html
optimal paths for a car that goes both forwards and backwards	https://pdfs.semanticscholar.org/932e/c495b1d0018fd59dee12a0bf74434fac7af4.pdf
ghliu/pyReedsShepp: Implementation of Reeds Shepp curve.	https://github.com/ghliu/pyReedsShepp
	https://github.com/zgu489/PythonRobotics#lqr-based-path-planning
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/LQRPlanner/animation.gif?raw=true
	https://github.com/zgu489/PythonRobotics#optimal-trajectory-in-a-frenet-frame
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathPlanning/FrenetOptimalTrajectory/animation.gif
Optimal Trajectory Generation for Dynamic Street Scenarios in a Frenet Frame	https://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 Frame	https://www.youtube.com/watch?v=Cj6tAQe7UCY
	https://github.com/zgu489/PythonRobotics#path-tracking
	https://github.com/zgu489/PythonRobotics#move-to-a-pose-control
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathTracking/move_to_pose/animation.gif
P. I. Corke, "Robotics, Vision and Control" \| SpringerLink p102	https://link.springer.com/book/10.1007/978-3-642-20144-8
	https://github.com/zgu489/PythonRobotics#stanley-control
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathTracking/stanley_controller/animation.gif
Stanley: The robot that won the DARPA grand challenge	http://robots.stanford.edu/papers/thrun.stanley05.pdf
Automatic Steering Methods for Autonomous Automobile Path Tracking	https://www.ri.cmu.edu/pub_files/2009/2/Automatic_Steering_Methods_for_Autonomous_Automobile_Path_Tracking.pdf
	https://github.com/zgu489/PythonRobotics#rear-wheel-feedback-control
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathTracking/rear_wheel_feedback/animation.gif
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles	https://arxiv.org/abs/1604.07446
	https://github.com/zgu489/PythonRobotics#linearquadratic-regulator-lqr-speed-and-steering-control
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathTracking/lqr_speed_steer_control/animation.gif
Towards fully autonomous driving: Systems and algorithms - IEEE Conference Publication	http://ieeexplore.ieee.org/document/5940562/
	https://github.com/zgu489/PythonRobotics#model-predictive-speed-and-steering-control
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathTracking/model_predictive_speed_and_steer_control/animation.gif
notebook	https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/model_predictive_speed_and_steer_control/Model_predictive_speed_and_steering_control.ipynb
Real-time Model Predictive Control (MPC), ACADO, Python \| Work-is-Playing	http://grauonline.de/wordpress/?page_id=3244
	https://github.com/zgu489/PythonRobotics#nonlinear-model-predictive-control-with-c-gmres
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/PathTracking/cgmres_nmpc/animation.gif
notebook	https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/cgmres_nmpc/cgmres_nmpc.ipynb
	https://github.com/zgu489/PythonRobotics#arm-navigation
	https://github.com/zgu489/PythonRobotics#n-joint-arm-to-point-control
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/ArmNavigation/n_joint_arm_to_point_control/animation.gif
	https://github.com/zgu489/PythonRobotics#arm-navigation-with-obstacle-avoidance
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/ArmNavigation/arm_obstacle_navigation/animation.gif
	https://github.com/zgu489/PythonRobotics#aerial-navigation
	https://github.com/zgu489/PythonRobotics#drone-3d-trajectory-following
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/AerialNavigation/drone_3d_trajectory_following/animation.gif
	https://github.com/zgu489/PythonRobotics#rocket-powered-landing
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/AerialNavigation/rocket_powered_landing/animation.gif
notebook	https://github.com/AtsushiSakai/PythonRobotics/blob/master/AerialNavigation/rocket_powered_landing/rocket_powered_landing.ipynb
	https://github.com/zgu489/PythonRobotics#bipedal
	https://github.com/zgu489/PythonRobotics#bipedal-planner-with-inverted-pendulum
	https://github.com/AtsushiSakai/PythonRoboticsGifs/raw/master/Bipedal/bipedal_planner/animation.gif
	https://github.com/zgu489/PythonRobotics#license
	https://github.com/zgu489/PythonRobotics#use-case
users_comments	https://github.com/AtsushiSakai/PythonRobotics/blob/master/users_comments.md
	https://github.com/zgu489/PythonRobotics#contribution
How To Contribute — PythonRobotics documentation	https://atsushisakai.github.io/PythonRobotics/how_to_contribute.html
	https://github.com/zgu489/PythonRobotics#citing
our papers	https://arxiv.org/abs/1808.10703
	https://github.com/zgu489/PythonRobotics#supporting-this-project
Sponsor @AtsushiSakai on GitHub Sponsors	https://github.com/sponsors/AtsushiSakai
Become a backer or sponsor on Patreon	https://www.patreon.com/myenigma
One-time donation via PayPal	https://www.paypal.me/myenigmapay/
	https://github.com/zgu489/PythonRobotics#sponsors
JetBrains	https://www.jetbrains.com/
	https://github.com/zgu489/PythonRobotics#jetbrains
	https://github.com/zgu489/PythonRobotics#authors
Contributors to AtsushiSakai/PythonRobotics	https://github.com/AtsushiSakai/PythonRobotics/graphs/contributors
atsushisakai.github.io/PythonRobotics/	https://atsushisakai.github.io/PythonRobotics/
Readme	https://github.com/zgu489/PythonRobotics#readme-ov-file
View license	https://github.com/zgu489/PythonRobotics#License-1-ov-file
Code of conduct	https://github.com/zgu489/PythonRobotics#coc-ov-file
Contributing	https://github.com/zgu489/PythonRobotics#contributing-ov-file
Security policy	https://github.com/zgu489/PythonRobotics#security-ov-file
Please reload this page	https://github.com/zgu489/PythonRobotics
Activity	https://github.com/zgu489/PythonRobotics/activity
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