ompl
所属分类：人工智能/神经网络/深度学习
开发工具：C++
文件大小：20188KB
下载次数：1
上传日期：2023-05-02 14:49:13
上 传 者：
sh-1993
说明： 开放式运动规划库（ompl）
(ompl,The Open Motion Planning Library (OMPL))
文件列表:
.appveyor.yml (1439, 2023-05-27)
.clang-format (1565, 2023-05-27)
.dockerignore (33, 2023-05-27)
.travis.yml (1376, 2023-05-27)
CITATION.cff (1392, 2023-05-27)
CMakeLists.txt (9872, 2023-05-27)
CMakeModules (0, 2023-05-27)
CMakeModules\CPackSettings.cmake (1784, 2023-05-27)
CMakeModules\CompilerSettings.cmake (1735, 2023-05-27)
CMakeModules\DoxygenSettings.cmake (1419, 2023-05-27)
CMakeModules\FindPython.cmake (11431, 2023-05-27)
CMakeModules\FindTriangle.cmake (517, 2023-05-27)
CMakeModules\Findcastxml.cmake (2566, 2023-05-27)
CMakeModules\Findflann.cmake (826, 2023-05-27)
CMakeModules\Findpypy.cmake (823, 2023-05-27)
CMakeModules\Findspot.cmake (415, 2023-05-27)
CMakeModules\Findyaml-cpp.cmake (397, 2023-05-27)
CMakeModules\OMPLUtils.cmake (5031, 2023-05-27)
CMakeModules\PythonBindingsUtils.cmake (6922, 2023-05-27)
CMakeModules\cmake_uninstall.cmake.in (1011, 2023-05-27)
CMakeModules\generate_header.cmake (466, 2023-05-27)
CMakeModules\ompl.pc.in (384, 2023-05-27)
LICENSE (1607, 2023-05-27)
TODO (845, 2023-05-27)
demos (0, 2023-05-27)
demos\CForestCircleGridBenchmark.cpp (5840, 2023-05-27)
demos\CMakeLists.txt (4998, 2023-05-27)
demos\Diagonal.cpp (5649, 2023-05-27)
demos\GeometricCarPlanning.cpp (8271, 2023-05-27)
demos\HybridSystemPlanning.cpp (8404, 2023-05-27)
demos\HypercubeBenchmark.cpp (4943, 2023-05-27)
demos\KinematicChain.h (11991, 2023-05-27)
demos\KinematicChainBenchmark.cpp (4284, 2023-05-27)
demos\KinematicChainPathPlot.py (4167, 2023-05-27)
demos\Koules (0, 2023-05-27)
demos\Koules\Koules.cpp (8450, 2023-05-27)
demos\Koules\KoulesConfig.h (2697, 2023-05-27)
... ...
The Open Motion Planning Library (OMPL)
=======================================
Linux / macOS [](https://travis-ci.org/ompl/ompl)
Windows [](https://ci.appveyor.com/project/mamoll/ompl/branch/main)
Visit the [OMPL installation page](https://ompl.kavrakilab.org/core/installation.html) for
detailed installation instructions.
OMPL has the following required dependencies:
* [Boost](https://www.boost.org) (version 1.58 or higher)
* [CMake](https://www.cmake.org) (version 3.5 or higher)
* [Eigen](http://eigen.tuxfamily.org) (version 3.3 or higher)
The following dependencies are optional:
* [ODE](http://ode.org) (needed to compile support for planning using the Open Dynamics Engine)
* [Py++](https://github.com/ompl/ompl/blob/main/doc/markdown/installPyPlusPlus.md) (needed to generate Python bindings)
* [Doxygen](http://www.doxygen.org) (needed to create a local copy of the documentation at
https://ompl.kavrakilab.org/core)
Once dependencies are installed, you can build OMPL on Linux, macOS,
and MS Windows. Go to the top-level directory of OMPL and type the
following commands:
mkdir -p build/Release
cd build/Release
cmake ../..
# next step is optional
make -j 4 update_bindings # if you want Python bindings
make -j 4 # replace "4" with the number of cores on your machine
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