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ompl repository

ompl

ROS Distro
humble

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version main
Last Updated 2026-04-09
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 2.0.0

README

The Open Motion Planning Library (OMPL)

OMPL is an open source sampling-based motion planning library

  • Over 40 sampling-based planning algorithms (RRT-Connect, PRM, KPIECE, RRT*, and many more) across more than 20 state spaces (SE(3), Euclidean space, and others)
  • Easily extensible to custom planners (Python and C++) and state spaces (C++)
  • SIMD-accelerated planning with VAMP for millisecond planning in both Python and C++

Build Format PyPI

Paper Paper Paper Paper Paper

Installation

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.68 or higher)
  • CMake (version 3.12 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Doxygen (needed to create a local copy of the documentation at https://ompl.kavrakilab.org/core)
  • Flann (FLANN can be used for nearest neighbor queries by OMPL)
  • Spot (Used for constructing finite automata from LTL formulae.)
  • yaml-cpp (Used for reading and writing YAML world descriptions in the PlanarManipulator demos)

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:

git submodule update --init --recursive
mkdir -p build/Release
cd build/Release
cmake ../..
make -j <num_cores> # replace <num_cores> with the number of cores on your machine

To install the Python bindings, go to the top-level directory of OMPL and type the following commands:

git submodule update --init --recursive
pip install ./py-bindings

CONTRIBUTING

Repo symbol

ompl repository

ompl

ROS Distro
jazzy

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version main
Last Updated 2026-04-09
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 2.0.0

README

The Open Motion Planning Library (OMPL)

OMPL is an open source sampling-based motion planning library

  • Over 40 sampling-based planning algorithms (RRT-Connect, PRM, KPIECE, RRT*, and many more) across more than 20 state spaces (SE(3), Euclidean space, and others)
  • Easily extensible to custom planners (Python and C++) and state spaces (C++)
  • SIMD-accelerated planning with VAMP for millisecond planning in both Python and C++

Build Format PyPI

Paper Paper Paper Paper Paper

Installation

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.68 or higher)
  • CMake (version 3.12 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Doxygen (needed to create a local copy of the documentation at https://ompl.kavrakilab.org/core)
  • Flann (FLANN can be used for nearest neighbor queries by OMPL)
  • Spot (Used for constructing finite automata from LTL formulae.)
  • yaml-cpp (Used for reading and writing YAML world descriptions in the PlanarManipulator demos)

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:

git submodule update --init --recursive
mkdir -p build/Release
cd build/Release
cmake ../..
make -j <num_cores> # replace <num_cores> with the number of cores on your machine

To install the Python bindings, go to the top-level directory of OMPL and type the following commands:

git submodule update --init --recursive
pip install ./py-bindings

CONTRIBUTING

Repo symbol

ompl repository

ompl

ROS Distro
kilted

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version main
Last Updated 2026-04-09
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 2.0.0

README

The Open Motion Planning Library (OMPL)

OMPL is an open source sampling-based motion planning library

  • Over 40 sampling-based planning algorithms (RRT-Connect, PRM, KPIECE, RRT*, and many more) across more than 20 state spaces (SE(3), Euclidean space, and others)
  • Easily extensible to custom planners (Python and C++) and state spaces (C++)
  • SIMD-accelerated planning with VAMP for millisecond planning in both Python and C++

Build Format PyPI

Paper Paper Paper Paper Paper

Installation

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.68 or higher)
  • CMake (version 3.12 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Doxygen (needed to create a local copy of the documentation at https://ompl.kavrakilab.org/core)
  • Flann (FLANN can be used for nearest neighbor queries by OMPL)
  • Spot (Used for constructing finite automata from LTL formulae.)
  • yaml-cpp (Used for reading and writing YAML world descriptions in the PlanarManipulator demos)

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:

git submodule update --init --recursive
mkdir -p build/Release
cd build/Release
cmake ../..
make -j <num_cores> # replace <num_cores> with the number of cores on your machine

To install the Python bindings, go to the top-level directory of OMPL and type the following commands:

git submodule update --init --recursive
pip install ./py-bindings

CONTRIBUTING

Repo symbol

ompl repository

ompl

ROS Distro
rolling

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version main
Last Updated 2026-04-09
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 2.0.0

README

The Open Motion Planning Library (OMPL)

OMPL is an open source sampling-based motion planning library

  • Over 40 sampling-based planning algorithms (RRT-Connect, PRM, KPIECE, RRT*, and many more) across more than 20 state spaces (SE(3), Euclidean space, and others)
  • Easily extensible to custom planners (Python and C++) and state spaces (C++)
  • SIMD-accelerated planning with VAMP for millisecond planning in both Python and C++

Build Format PyPI

Paper Paper Paper Paper Paper

Installation

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.68 or higher)
  • CMake (version 3.12 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Doxygen (needed to create a local copy of the documentation at https://ompl.kavrakilab.org/core)
  • Flann (FLANN can be used for nearest neighbor queries by OMPL)
  • Spot (Used for constructing finite automata from LTL formulae.)
  • yaml-cpp (Used for reading and writing YAML world descriptions in the PlanarManipulator demos)

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:

git submodule update --init --recursive
mkdir -p build/Release
cd build/Release
cmake ../..
make -j <num_cores> # replace <num_cores> with the number of cores on your machine

To install the Python bindings, go to the top-level directory of OMPL and type the following commands:

git submodule update --init --recursive
pip install ./py-bindings

CONTRIBUTING

No version for distro ardent showing humble. Known supported distros are highlighted in the buttons above.
Repo symbol

ompl repository

ompl

ROS Distro
humble

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version main
Last Updated 2026-04-09
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 2.0.0

README

The Open Motion Planning Library (OMPL)

OMPL is an open source sampling-based motion planning library

  • Over 40 sampling-based planning algorithms (RRT-Connect, PRM, KPIECE, RRT*, and many more) across more than 20 state spaces (SE(3), Euclidean space, and others)
  • Easily extensible to custom planners (Python and C++) and state spaces (C++)
  • SIMD-accelerated planning with VAMP for millisecond planning in both Python and C++

Build Format PyPI

Paper Paper Paper Paper Paper

Installation

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.68 or higher)
  • CMake (version 3.12 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Doxygen (needed to create a local copy of the documentation at https://ompl.kavrakilab.org/core)
  • Flann (FLANN can be used for nearest neighbor queries by OMPL)
  • Spot (Used for constructing finite automata from LTL formulae.)
  • yaml-cpp (Used for reading and writing YAML world descriptions in the PlanarManipulator demos)

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:

git submodule update --init --recursive
mkdir -p build/Release
cd build/Release
cmake ../..
make -j <num_cores> # replace <num_cores> with the number of cores on your machine

To install the Python bindings, go to the top-level directory of OMPL and type the following commands:

git submodule update --init --recursive
pip install ./py-bindings

CONTRIBUTING

No version for distro bouncy showing humble. Known supported distros are highlighted in the buttons above.
Repo symbol

ompl repository

ompl

ROS Distro
humble

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version main
Last Updated 2026-04-09
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 2.0.0

README

The Open Motion Planning Library (OMPL)

OMPL is an open source sampling-based motion planning library

  • Over 40 sampling-based planning algorithms (RRT-Connect, PRM, KPIECE, RRT*, and many more) across more than 20 state spaces (SE(3), Euclidean space, and others)
  • Easily extensible to custom planners (Python and C++) and state spaces (C++)
  • SIMD-accelerated planning with VAMP for millisecond planning in both Python and C++

Build Format PyPI

Paper Paper Paper Paper Paper

Installation

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.68 or higher)
  • CMake (version 3.12 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Doxygen (needed to create a local copy of the documentation at https://ompl.kavrakilab.org/core)
  • Flann (FLANN can be used for nearest neighbor queries by OMPL)
  • Spot (Used for constructing finite automata from LTL formulae.)
  • yaml-cpp (Used for reading and writing YAML world descriptions in the PlanarManipulator demos)

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:

git submodule update --init --recursive
mkdir -p build/Release
cd build/Release
cmake ../..
make -j <num_cores> # replace <num_cores> with the number of cores on your machine

To install the Python bindings, go to the top-level directory of OMPL and type the following commands:

git submodule update --init --recursive
pip install ./py-bindings

CONTRIBUTING

No version for distro crystal showing humble. Known supported distros are highlighted in the buttons above.
Repo symbol

ompl repository

ompl

ROS Distro
humble

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version main
Last Updated 2026-04-09
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 2.0.0

README

The Open Motion Planning Library (OMPL)

OMPL is an open source sampling-based motion planning library

  • Over 40 sampling-based planning algorithms (RRT-Connect, PRM, KPIECE, RRT*, and many more) across more than 20 state spaces (SE(3), Euclidean space, and others)
  • Easily extensible to custom planners (Python and C++) and state spaces (C++)
  • SIMD-accelerated planning with VAMP for millisecond planning in both Python and C++

Build Format PyPI

Paper Paper Paper Paper Paper

Installation

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.68 or higher)
  • CMake (version 3.12 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Doxygen (needed to create a local copy of the documentation at https://ompl.kavrakilab.org/core)
  • Flann (FLANN can be used for nearest neighbor queries by OMPL)
  • Spot (Used for constructing finite automata from LTL formulae.)
  • yaml-cpp (Used for reading and writing YAML world descriptions in the PlanarManipulator demos)

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:

git submodule update --init --recursive
mkdir -p build/Release
cd build/Release
cmake ../..
make -j <num_cores> # replace <num_cores> with the number of cores on your machine

To install the Python bindings, go to the top-level directory of OMPL and type the following commands:

git submodule update --init --recursive
pip install ./py-bindings

CONTRIBUTING

No version for distro eloquent showing humble. Known supported distros are highlighted in the buttons above.
Repo symbol

ompl repository

ompl

ROS Distro
humble

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version main
Last Updated 2026-04-09
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 2.0.0

README

The Open Motion Planning Library (OMPL)

OMPL is an open source sampling-based motion planning library

  • Over 40 sampling-based planning algorithms (RRT-Connect, PRM, KPIECE, RRT*, and many more) across more than 20 state spaces (SE(3), Euclidean space, and others)
  • Easily extensible to custom planners (Python and C++) and state spaces (C++)
  • SIMD-accelerated planning with VAMP for millisecond planning in both Python and C++

Build Format PyPI

Paper Paper Paper Paper Paper

Installation

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.68 or higher)
  • CMake (version 3.12 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Doxygen (needed to create a local copy of the documentation at https://ompl.kavrakilab.org/core)
  • Flann (FLANN can be used for nearest neighbor queries by OMPL)
  • Spot (Used for constructing finite automata from LTL formulae.)
  • yaml-cpp (Used for reading and writing YAML world descriptions in the PlanarManipulator demos)

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:

git submodule update --init --recursive
mkdir -p build/Release
cd build/Release
cmake ../..
make -j <num_cores> # replace <num_cores> with the number of cores on your machine

To install the Python bindings, go to the top-level directory of OMPL and type the following commands:

git submodule update --init --recursive
pip install ./py-bindings

CONTRIBUTING

Repo symbol

ompl repository

ROS Distro
dashing

Repository Summary

Checkout URI https://bitbucket.org/ompl/ompl
VCS Type hg
VCS Version {ask}
Last Updated UNKNOWN
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

No CONTRIBUTING.md found.

Indexing Errors

  • Could not fetch source repo: Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
  • Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
Repo symbol

ompl repository

ompl

ROS Distro
galactic

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version 1.5.2
Last Updated 2021-01-31
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.5.2

README

The Open Motion Planning Library (OMPL)

Linux / macOS Build Status Windows Build status

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.58 or higher)
  • CMake (version 3.5 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • ODE (needed to compile support for planning using the Open Dynamics Engine)
  • Py++ (needed to generate Python bindings)
  • Doxygen (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

CONTRIBUTING

Repo symbol

ompl repository

ompl

ROS Distro
foxy

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version 1.5.0
Last Updated 2020-06-02
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.5.0

README

The Open Motion Planning Library (OMPL)

Linux / macOS Build Status Windows Build status

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.58 or higher)
  • CMake (version 3.5 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • ODE (needed to compile support for planning using the Open Dynamics Engine)
  • Py++ (needed to generate Python bindings)
  • Doxygen (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

CONTRIBUTING

Repo symbol

ompl repository

ompl

ROS Distro
iron

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version main
Last Updated 2026-04-09
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 2.0.0

README

The Open Motion Planning Library (OMPL)

OMPL is an open source sampling-based motion planning library

  • Over 40 sampling-based planning algorithms (RRT-Connect, PRM, KPIECE, RRT*, and many more) across more than 20 state spaces (SE(3), Euclidean space, and others)
  • Easily extensible to custom planners (Python and C++) and state spaces (C++)
  • SIMD-accelerated planning with VAMP for millisecond planning in both Python and C++

Build Format PyPI

Paper Paper Paper Paper Paper

Installation

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.68 or higher)
  • CMake (version 3.12 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Doxygen (needed to create a local copy of the documentation at https://ompl.kavrakilab.org/core)
  • Flann (FLANN can be used for nearest neighbor queries by OMPL)
  • Spot (Used for constructing finite automata from LTL formulae.)
  • yaml-cpp (Used for reading and writing YAML world descriptions in the PlanarManipulator demos)

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:

git submodule update --init --recursive
mkdir -p build/Release
cd build/Release
cmake ../..
make -j <num_cores> # replace <num_cores> with the number of cores on your machine

To install the Python bindings, go to the top-level directory of OMPL and type the following commands:

git submodule update --init --recursive
pip install ./py-bindings

CONTRIBUTING

Repo symbol

ompl repository

ROS Distro
lunar

Repository Summary

Checkout URI https://bitbucket.org/ompl/ompl
VCS Type hg
VCS Version default
Last Updated UNKNOWN
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

No CONTRIBUTING.md found.

Indexing Errors

  • Could not fetch source repo: Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
  • Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
Repo symbol

ompl repository

ROS Distro
jade

Repository Summary

Checkout URI https://bitbucket.org/ompl/ompl
VCS Type hg
VCS Version {ask}
Last Updated UNKNOWN
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

No CONTRIBUTING.md found.

Indexing Errors

  • Could not fetch source repo: Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
  • Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
Repo symbol

ompl repository

ROS Distro
indigo

Repository Summary

Checkout URI https://bitbucket.org/ompl/ompl
VCS Type hg
VCS Version {ask}
Last Updated UNKNOWN
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

No CONTRIBUTING.md found.

Indexing Errors

  • Could not fetch source repo: Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
  • Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
Repo symbol

ompl repository

ROS Distro
hydro

Repository Summary

Checkout URI https://bitbucket.org/ompl/ompl
VCS Type hg
VCS Version {ask}
Last Updated UNKNOWN
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

No CONTRIBUTING.md found.

Indexing Errors

  • Could not fetch source repo: Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
  • Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
Repo symbol

ompl repository

ROS Distro
kinetic

Repository Summary

Checkout URI https://bitbucket.org/ompl/ompl
VCS Type hg
VCS Version {ask}
Last Updated UNKNOWN
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

No CONTRIBUTING.md found.

Indexing Errors

  • Could not fetch source repo: Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
  • Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
Repo symbol

ompl repository

ROS Distro
melodic

Repository Summary

Checkout URI https://bitbucket.org/ompl/ompl
VCS Type hg
VCS Version {ask}
Last Updated UNKNOWN
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

No CONTRIBUTING.md found.

Indexing Errors

  • Could not fetch source repo: Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
  • Could not reach hg repository at uri: https://bitbucket.org/ompl/ompl: VCSException
Repo symbol

ompl repository

ompl

ROS Distro
noetic

Repository Summary

Checkout URI https://github.com/ompl/ompl.git
VCS Type git
VCS Version 1.6.0
Last Updated 2023-01-07
Dev Status UNMAINTAINED
Released RELEASED
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.6.0

README

The Open Motion Planning Library (OMPL)

Linux / macOS Build Status Windows Build status

Visit the OMPL installation page for detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.58 or higher)
  • CMake (version 3.5 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

  • ODE (needed to compile support for planning using the Open Dynamics Engine)
  • Py++ (needed to generate Python bindings)
  • Doxygen (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

CONTRIBUTING