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Title: GitHub - Pilat66/PythonRobotics: Python sample codes for robotics algorithms.

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X Title: GitHub - Pilat66/PythonRobotics: Python sample codes for robotics algorithms.

Description: Python sample codes for robotics algorithms. Contribute to Pilat66/PythonRobotics development by creating an account on GitHub.

Open Graph Description: Python sample codes for robotics algorithms. Contribute to Pilat66/PythonRobotics development by creating an account on GitHub.

X Description: Python sample codes for robotics algorithms. Contribute to Pilat66/PythonRobotics development by creating an account on GitHub.

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https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#pythonrobotics
https://travis-ci.org/AtsushiSakai/PythonRobotics
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#table-of-contents
Requirementshttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#requirements
How to usehttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#how-to-use
Localizationhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#localization
Extended Kalman Filter localizationhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#extended-kalman-filter-localization
Unscented Kalman Filter localizationhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#unscented-kalman-filter-localization
Particle Filter localizationhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#particle-filter-localization
Mappinghttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#mapping
Gaussian grid maphttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#gaussian-grid-map
Ray casting grid maphttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#ray-casting-grid-map
Path Planninghttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#path-planning
Dynamic Window Approachhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#dynamic-window-approach
Grid based searchhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#grid-based-search
Dijkstra algorithmhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#dijkstra-algorithm
A* algorithmhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#a-algorithm
Potential Field algorithmhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#potential-field-algorithm
Model Predictive Trajectory Generatorhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#model-predictive-trajectory-generator
Path optimization samplehttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#path-optimization-sample
Lookup table generation samplehttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#lookup-table-generation-sample
State Lattice Planninghttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#state-lattice-planning
Uniform polar samplinghttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#uniform-polar-sampling
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Probabilistic Road-Map (PRM) planninghttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#probabilistic-road-map-prm-planning
Voronoi Road-Map planninghttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#voronoi-road-map-planning
Rapidly-Exploring Random Trees (RRT)https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#rapidly-exploring-random-trees-rrt
Basic RRThttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#basic-rrt
RRT*https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#rrt
RRT with dubins pathhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#rrt-with-dubins-path
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Optimal Trajectory in a Frenet Framehttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#optimal-trajectory-in-a-frenet-frame
Mix Integer Optimization based model predictive planning and controlhttps://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#mix-integer-optimization-based-model-predictive-planning-and-control
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https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#requirements
cvxpyhttps://cvxgrp.github.io/cvxpy/index.html
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#how-to-use
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#localization
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#extended-kalman-filter-localization
https://github.com/AtsushiSakai/PythonRobotics/blob/master/Localization/extended_kalman_filter/animation.gif
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#unscented-kalman-filter-localization
https://github.com/AtsushiSakai/PythonRobotics/blob/master/Localization/unscented_kalman_filter/animation.gif
Discriminatively Trained Unscented Kalman Filter for Mobile Robot Localizationhttps://www.researchgate.net/publication/267963417_Discriminatively_Trained_Unscented_Kalman_Filter_for_Mobile_Robot_Localization
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#particle-filter-localization
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https://github.com/AtsushiSakai/PythonRobotics/blob/master/Mapping/gaussian_grid_map/animation.gif
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https://github.com/AtsushiSakai/PythonRobotics/blob/master/Mapping/raycasting_grid_map/animation.gif
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#path-planning
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#dynamic-window-approach
The Dynamic Window Approach to Collision Avoidancehttps://www.ri.cmu.edu/pub_files/pub1/fox_dieter_1997_1/fox_dieter_1997_1.pdf
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/DynamicWindowApproach/animation.gif
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https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#dijkstra-algorithm
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/Dijkstra/animation.gif
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https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#potential-field-algorithm
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/PotentialFieldPlanning/animation.gif
Robotic Motion Planning:Potential Functionshttps://www.cs.cmu.edu/~motionplanning/lecture/Chap4-Potential-Field_howie.pdf
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https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#path-optimization-sample
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https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/ModelPredictiveTrajectoryGenerator/lookuptable.png?raw=True
Optimal rough terrain trajectory generation for wheeled mobile robotshttp://journals.sagepub.com/doi/pdf/10.1177/0278364906075328
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#state-lattice-planning
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#uniform-polar-sampling
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Probabilistic roadmap - Wikipediahttps://en.wikipedia.org/wiki/Probabilistic_roadmap
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#voronoi-road-map-planning
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/VoronoiRoadMap/animation.gif
Robotic Motion Planninghttps://www.cs.cmu.edu/~motionplanning/lecture/Chap5-RoadMap-Methods_howie.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
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#rrt-with-dubins-path
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/RRTDubins/animation.gif
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#rrt-with-dubins-path-1
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/RRTStarDubins/animation.gif
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#rrt-with-reeds-sheep-path
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/RRTStarReedsShepp/animation.gif
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#closed-loop-rrt
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/ClosedLoopRRTStar/animation.gif
Motion Planning in Complex Environments using Closed-loop Predictionhttp://acl.mit.edu/papers/KuwataGNC08.pdf
Real-time Motion Planning with Applications to Autonomous Urban Drivinghttp://acl.mit.edu/papers/KuwataTCST09.pdf
[1601.06326] Sampling-based Algorithms for Optimal Motion Planning Using Closed-loop Predictionhttps://arxiv.org/abs/1601.06326
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#cubic-spline-planning
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/CubicSpline/Figure_1.png?raw=True
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/CubicSpline/Figure_2.png?raw=True
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/CubicSpline/Figure_3.png?raw=True
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#b-spline-planning
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/BSplinePath/Figure_1.png?raw=True
B-spline - Wikipediahttps://en.wikipedia.org/wiki/B-spline
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#bezier-path-planning
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/BezierPath/Figure_1.png?raw=True
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/BezierPath/Figure_2.png?raw=True
Continuous Curvature Path Generation Based on Bezier Curves for Autonomous Vehicleshttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.294.6438&rep=rep1&type=pdf
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#quintic-polynomials-planning
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/QuinticPolynomialsPlanner/animation.gif
Local Path Planning And Motion Control For Agv In Positioninghttp://ieeexplore.ieee.org/document/637936/
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#dubins-path-planning
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/DubinsPath/animation.gif?raw=True
Dubins path - Wikipediahttps://en.wikipedia.org/wiki/Dubins_path
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#reeds-shepp-planning
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/ReedsSheppPath/animation.gif?raw=true
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
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#optimal-trajectory-in-a-frenet-frame
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/FrenetOptimalTrajectory/animation.gif
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
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#mix-integer-optimization-based-model-predictive-planning-and-control
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathPlanning/MixIntegerPathPlanning/animation.gif
MIXED INTEGER PROGRAMMING FOR MULTI-VEHICLE PATH PLANNINGhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.4.2591&rep=rep1&type=pdf
Welcome to CVXPY 1.0 — CVXPY 1.0.0 documentationhttps://cvxgrp.github.io/cvxpy/index.html
Gurobi Optimization - The State-of-the-Art Mathematical Programming Solverhttp://www.gurobi.com/
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#path-tracking
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#pure-pursuit-tracking
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/pure_pursuit/animation.gif
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicleshttps://arxiv.org/abs/1604.07446
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#stanley-control
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/stanley_controller/animation.gif
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
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#rear-wheel-feedback-control
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/rear_wheel_feedback/animation.gif
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicleshttps://arxiv.org/abs/1604.07446
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#linearquadratic-regulator-lqr-steering-control
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/lqr_steer_control/animation.gif
ApolloAuto/apollo: An open autonomous driving platformhttps://github.com/ApolloAuto/apollo
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#linearquadratic-regulator-lqr-speed-and-steering-control
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/lqr_speed_steer_control/animation.gif
Towards fully autonomous driving: Systems and algorithms - IEEE Conference Publicationhttp://ieeexplore.ieee.org/document/5940562/
https://patch-diff.githubusercontent.com/Pilat66/PythonRobotics#model-predictive-speed-and-steering-control
https://github.com/AtsushiSakai/PythonRobotics/blob/master/PathTracking/model_predictive_speed_and_steer_control/animation.gif
Welcome to CVXPY 1.0 — CVXPY 1.0.0 documentationhttps://cvxgrp.github.io/cvxpy/index.html
Vehicle Dynamics and Control | Rajesh Rajamani | Springerhttp://www.springer.com/us/book/9781461414322
MPC Course Material - MPC Lab @ UC-Berkeleyhttp://www.mpc.berkeley.edu/mpc-course-material
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