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 2025-08-26
Dev Status UNMAINTAINED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.8.0

README

The Open Motion Planning Library (OMPL)

OMPL is a free sampling-based motion planning library with VAMP integration for high-performance collision checking using SIMD acceleration.

Continuous Integration Status

Build Format

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)
  • yaml-cpp - Used for parsing YAML configuration files, required for VAMP demos

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Py++ (needed to generate Python bindings)
  • 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.)

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  # for VAMP integration
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
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 2025-08-26
Dev Status UNMAINTAINED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.8.0

README

The Open Motion Planning Library (OMPL)

OMPL is a free sampling-based motion planning library with VAMP integration for high-performance collision checking using SIMD acceleration.

Continuous Integration Status

Build Format

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)
  • yaml-cpp - Used for parsing YAML configuration files, required for VAMP demos

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Py++ (needed to generate Python bindings)
  • 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.)

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  # for VAMP integration
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
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 2025-08-26
Dev Status UNMAINTAINED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.8.0

README

The Open Motion Planning Library (OMPL)

OMPL is a free sampling-based motion planning library with VAMP integration for high-performance collision checking using SIMD acceleration.

Continuous Integration Status

Build Format

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)
  • yaml-cpp - Used for parsing YAML configuration files, required for VAMP demos

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Py++ (needed to generate Python bindings)
  • 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.)

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  # for VAMP integration
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
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 2025-08-26
Dev Status UNMAINTAINED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.8.0

README

The Open Motion Planning Library (OMPL)

OMPL is a free sampling-based motion planning library with VAMP integration for high-performance collision checking using SIMD acceleration.

Continuous Integration Status

Build Format

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)
  • yaml-cpp - Used for parsing YAML configuration files, required for VAMP demos

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Py++ (needed to generate Python bindings)
  • 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.)

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  # for VAMP integration
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
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 2025-08-26
Dev Status UNMAINTAINED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.8.0

README

The Open Motion Planning Library (OMPL)

OMPL is a free sampling-based motion planning library with VAMP integration for high-performance collision checking using SIMD acceleration.

Continuous Integration Status

Build Format

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)
  • yaml-cpp - Used for parsing YAML configuration files, required for VAMP demos

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Py++ (needed to generate Python bindings)
  • 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.)

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  # for VAMP integration
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
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 2025-08-26
Dev Status UNMAINTAINED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.8.0

README

The Open Motion Planning Library (OMPL)

OMPL is a free sampling-based motion planning library with VAMP integration for high-performance collision checking using SIMD acceleration.

Continuous Integration Status

Build Format

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)
  • yaml-cpp - Used for parsing YAML configuration files, required for VAMP demos

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Py++ (needed to generate Python bindings)
  • 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.)

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  # for VAMP integration
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
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 2025-08-26
Dev Status UNMAINTAINED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.8.0

README

The Open Motion Planning Library (OMPL)

OMPL is a free sampling-based motion planning library with VAMP integration for high-performance collision checking using SIMD acceleration.

Continuous Integration Status

Build Format

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)
  • yaml-cpp - Used for parsing YAML configuration files, required for VAMP demos

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Py++ (needed to generate Python bindings)
  • 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.)

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  # for VAMP integration
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
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 2025-08-26
Dev Status UNMAINTAINED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.8.0

README

The Open Motion Planning Library (OMPL)

OMPL is a free sampling-based motion planning library with VAMP integration for high-performance collision checking using SIMD acceleration.

Continuous Integration Status

Build Format

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)
  • yaml-cpp - Used for parsing YAML configuration files, required for VAMP demos

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Py++ (needed to generate Python bindings)
  • 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.)

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  # for VAMP integration
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
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
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

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
Tags No category tags.
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
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
Tags No category tags.
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
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 2025-08-26
Dev Status UNMAINTAINED
Released RELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
ompl 1.8.0

README

The Open Motion Planning Library (OMPL)

OMPL is a free sampling-based motion planning library with VAMP integration for high-performance collision checking using SIMD acceleration.

Continuous Integration Status

Build Format

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)
  • yaml-cpp - Used for parsing YAML configuration files, required for VAMP demos

The following dependencies are optional:

  • VAMP (enabled by default) - Vector-Accelerated Motion Planning for high-performance collision checking with SIMD optimization
  • Py++ (needed to generate Python bindings)
  • 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.)

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  # for VAMP integration
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
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
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

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
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

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
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

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
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

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
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

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
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

No packages found.

README

No README found.

CONTRIBUTING

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
Tags No category tags.
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