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PythonRobotics/docs/modules/5_path_planning/path_planning_main.rst
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.. _path_planning:
Path Planning
=============
Path planning is the ability of a robot to search feasible and efficient path to the goal. The path has to satisfy some constraints based on the robots motion model and obstacle positions, and optimize some objective functions such as time to goal and distance to obstacle. In path planning, dynamic programming based approaches and sampling based approaches are widely used[22]. Fig.5 shows simulation results of potential field path planning and LQRRRT* path planning[27].
.. toctree::
:maxdepth: 2
:caption: Contents
dynamic_window_approach/dynamic_window_approach
bugplanner/bugplanner
grid_base_search/grid_base_search
model_predictive_trajectory_generator/model_predictive_trajectory_generator
state_lattice_planner/state_lattice_planner
prm_planner/prm_planner
visibility_road_map_planner/visibility_road_map_planner
vrm_planner/vrm_planner
rrt/rrt
cubic_spline/cubic_spline
bspline_path/bspline_path
catmull_rom_spline/catmull_rom_spline
clothoid_path/clothoid_path
eta3_spline/eta3_spline
bezier_path/bezier_path
quintic_polynomials_planner/quintic_polynomials_planner
dubins_path/dubins_path
reeds_shepp_path/reeds_shepp_path
lqr_path/lqr_path
hybridastar/hybridastar
frenet_frame_path/frenet_frame_path
coverage_path/coverage_path