Repository Summary
| Checkout URI | https://github.com/ethz-adrl/towr.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2019-04-12 |
| Dev Status | DEVELOPED |
| Released | RELEASED |
README

A light-weight and extensible C++ library for trajectory optimization for legged robots.
A base-set of variables, costs and constraints that can be combined and extended to formulate trajectory optimization problems for legged systems. These implementations have been used to generate a variety of motions such as monoped hopping, biped walking, or a complete quadruped trotting cycle, while optimizing over the gait and step durations in less than 100ms (paper).
Features:
:heavy_check_mark: Inuitive and efficient formulation of variables, cost and constraints using [Eigen].
:heavy_check_mark: [ifopt] enables using the high-performance solvers [Ipopt] and [Snopt].
:heavy_check_mark: Elegant rviz visualization of motion plans using [xpp].
:heavy_check_mark: [ROS]/[catkin] integration (optional).
:heavy_check_mark: Light-weight (~6k lines of code) makes it easy to use and extend.
Install • Run • Develop • Contribute • Publications • Authors
Install
The easiest way to install is through the ROS binaries:
sudo apt-get install ros-<ros-distro>-towr-ros
In case these don't yet exist for your distro, there are two ways to build this code from source: * Option 1: core library and hopper-example with pure [CMake]. * Option 2 (recommended): core library & GUI & ROS-rviz-visualization built with [catkin] and [ROS].
Building with CMake
- Install dependencies [CMake], [Eigen], [Ipopt]:
sudo apt-get install cmake libeigen3-dev coinor-libipopt-dev
Install [ifopt], by cloning the repo and then: cmake .. && make install on your system.
- Build towr:
git clone https://github.com/ethz-adrl/towr.git && cd towr/towr
mkdir build && cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make
sudo make install # copies files in this folder to /usr/local/*
# sudo xargs rm < install_manifest.txt # in case you want to uninstall the above
- Test (hopper_example.cc): Generates a motion for a one-legged hopper using Ipopt
./towr-example # or ./towr-test if gtest was found
- Use: You can easily customize and add your own constraints and variables to the optimization problem. Herefore, add the following to your CMakeLists.txt:
find_package(towr 1.2 REQUIRED)
add_executable(main main.cpp) # Your custom variables, costs and constraints added to TOWR
target_link_libraries(main PUBLIC towr::towr) # adds include directories and libraries
Building with catkin
We provide a [ROS]-wrapper for the pure cmake towr library, which adds a keyboard interface to modify goal state and motion types as well as visualizes the produces motions plans in rviz using [xpp].
- Install dependencies [CMake], [catkin], [Eigen], [Ipopt], [ROS], [xpp], [ncurses], [xterm]:
sudo apt-get install cmake libeigen3-dev coinor-libipopt-dev libncurses5-dev xterm
sudo apt-get install ros-<ros-distro>-desktop-full ros-<ros-distro>-xpp
- Build workspace:
cd catkin_workspace/src
git clone https://github.com/ethz-adrl/ifopt.git
git clone https://github.com/ethz-adrl/towr.git
cd ..
catkin_make_isolated -DCMAKE_BUILD_TYPE=Release # or `catkin build`
source ./devel_isolated/setup.bash
- Use: Include in your catkin project by adding to your CMakeLists.txt
add_compile_options(-std=c++11)
find_package(catkin COMPONENTS towr)
include_directories(${catkin_INCLUDE_DIRS})
target_link_libraries(foo ${catkin_LIBRARIES})
Add the following to your package.xml:
<package>
<depend>towr</depend>
</package>
Run
Launch the program using
roslaunch towr_ros towr_ros.launch # debug:=true (to debug with gdb)
Click in the xterm terminal and hit 'o'.
Information about how to tune the paramters can be found here.
Develop
Library overview
- The relevant classes and parameters to build on are collected modules.
- A nice graphical overview as UML can be seen here.
- The doxygen documentation provides helpul information for developers.
Problem formulation
- This code formulates the variables, costs and constraints using ifopt, so it makes sense to briefly familiarize with the syntax using [this example].
- A minimal towr example without ROS, formulating a problem for a one-legged hopper, can be seen here and is great starting point.
- We recommend using the ROS infrastructure provided to dynamically visualize, plot and change the problem formulation. To define your own problem using this infrastructure, use this example as a guide.
Add your own variables, costs and constraints
- This library provides a set of variables, costs and constraints to formulate the trajectory optimization problem. An example formulation of how to combine these is given, however, this formulation can probably be improved. To add your own e.g. constraint-set, define a class with it's values and derivatives, and then add it to the formulation
nlp.AddConstraintSet(your_custom_constraints);as shown here.
Add your own robot
- Want to add your own robot to towr? Start here.
- To visualize that robot in rviz, see [xpp].
Contribute
We love pull request, whether its new constraint formulations, additional robot models, bug fixes, unit tests or updating the documentation. Please have a look at CONTRIBUTING.md for more information.
See here the list of contributors who participated in this project.
Publications
All publications underlying this code can be found here. The core paper is:
@article{winkler18,
author = {Winkler, Alexander W and Bellicoso, Dario C and
Hutter, Marco and Buchli, Jonas},
title = {Gait and Trajectory Optimization for Legged Systems
through Phase-based End-Effector Parameterization},
journal = {IEEE Robotics and Automation Letters (RA-L)},
year = {2018},
month = {July},
pages = {1560-1567},
volume = {3},
doi = {10.1109/LRA.2018.2798285},
}
A broader overview of the topic of Trajectory optimization and derivation of the Single-Rigid-Body Dynamics model used in this work: DOI 10.3929/ethz-b-000272432
Authors
Alexander W. Winkler - Initial Work/Maintainer
The work was carried out at the following institutions:
[A. W. Winkler]: https://awinkler.github.io/publications.html [CMake]: https://cmake.org/cmake/help/v3.0/ [std_msgs]: http://wiki.ros.org/std_msgs [roscpp]: http://wiki.ros.org/roscpp [message_generation]: http://wiki.ros.org/message_generation [rosbag]: http://wiki.ros.org/rosbag [HyQ]: https://www.iit.it/research/lines/dynamic-legged-systems [ANYmal]: http://www.rsl.ethz.ch/robots-media/anymal.html [ROS]: http://www.ros.org [xpp]: http://wiki.ros.org/xpp [ifopt_core]: https://github.com/ethz-adrl/ifopt [ifopt]: https://github.com/ethz-adrl/ifopt [Ipopt]: https://projects.coin-or.org/Ipopt [ncurses]: http://invisible-island.net/ncurses/man/ncurses.3x.html [xterm]: https://linux.die.net/man/1/xterm [Snopt]: http://www.sbsi-sol-optimize.com/asp/sol_product_snopt.htm [rviz]: http://wiki.ros.org/rviz [catkin]: http://wiki.ros.org/catkin [catkin tools]: http://catkin-tools.readthedocs.org/ [Eigen]: http://eigen.tuxfamily.org [this example]: https://github.com/ethz-adrl/ifopt/blob/master/ifopt_core/test/ifopt/test_vars_constr_cost.h
Repository Summary
| Checkout URI | https://github.com/ethz-adrl/towr.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2019-04-12 |
| Dev Status | DEVELOPED |
| Released | RELEASED |
README

A light-weight and extensible C++ library for trajectory optimization for legged robots.
A base-set of variables, costs and constraints that can be combined and extended to formulate trajectory optimization problems for legged systems. These implementations have been used to generate a variety of motions such as monoped hopping, biped walking, or a complete quadruped trotting cycle, while optimizing over the gait and step durations in less than 100ms (paper).
Features:
:heavy_check_mark: Inuitive and efficient formulation of variables, cost and constraints using [Eigen].
:heavy_check_mark: [ifopt] enables using the high-performance solvers [Ipopt] and [Snopt].
:heavy_check_mark: Elegant rviz visualization of motion plans using [xpp].
:heavy_check_mark: [ROS]/[catkin] integration (optional).
:heavy_check_mark: Light-weight (~6k lines of code) makes it easy to use and extend.
Install • Run • Develop • Contribute • Publications • Authors
Install
The easiest way to install is through the ROS binaries:
sudo apt-get install ros-<ros-distro>-towr-ros
In case these don't yet exist for your distro, there are two ways to build this code from source: * Option 1: core library and hopper-example with pure [CMake]. * Option 2 (recommended): core library & GUI & ROS-rviz-visualization built with [catkin] and [ROS].
Building with CMake
- Install dependencies [CMake], [Eigen], [Ipopt]:
sudo apt-get install cmake libeigen3-dev coinor-libipopt-dev
Install [ifopt], by cloning the repo and then: cmake .. && make install on your system.
- Build towr:
git clone https://github.com/ethz-adrl/towr.git && cd towr/towr
mkdir build && cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make
sudo make install # copies files in this folder to /usr/local/*
# sudo xargs rm < install_manifest.txt # in case you want to uninstall the above
- Test (hopper_example.cc): Generates a motion for a one-legged hopper using Ipopt
./towr-example # or ./towr-test if gtest was found
- Use: You can easily customize and add your own constraints and variables to the optimization problem. Herefore, add the following to your CMakeLists.txt:
find_package(towr 1.2 REQUIRED)
add_executable(main main.cpp) # Your custom variables, costs and constraints added to TOWR
target_link_libraries(main PUBLIC towr::towr) # adds include directories and libraries
Building with catkin
We provide a [ROS]-wrapper for the pure cmake towr library, which adds a keyboard interface to modify goal state and motion types as well as visualizes the produces motions plans in rviz using [xpp].
- Install dependencies [CMake], [catkin], [Eigen], [Ipopt], [ROS], [xpp], [ncurses], [xterm]:
sudo apt-get install cmake libeigen3-dev coinor-libipopt-dev libncurses5-dev xterm
sudo apt-get install ros-<ros-distro>-desktop-full ros-<ros-distro>-xpp
- Build workspace:
cd catkin_workspace/src
git clone https://github.com/ethz-adrl/ifopt.git
git clone https://github.com/ethz-adrl/towr.git
cd ..
catkin_make_isolated -DCMAKE_BUILD_TYPE=Release # or `catkin build`
source ./devel_isolated/setup.bash
- Use: Include in your catkin project by adding to your CMakeLists.txt
add_compile_options(-std=c++11)
find_package(catkin COMPONENTS towr)
include_directories(${catkin_INCLUDE_DIRS})
target_link_libraries(foo ${catkin_LIBRARIES})
Add the following to your package.xml:
<package>
<depend>towr</depend>
</package>
Run
Launch the program using
roslaunch towr_ros towr_ros.launch # debug:=true (to debug with gdb)
Click in the xterm terminal and hit 'o'.
Information about how to tune the paramters can be found here.
Develop
Library overview
- The relevant classes and parameters to build on are collected modules.
- A nice graphical overview as UML can be seen here.
- The doxygen documentation provides helpul information for developers.
Problem formulation
- This code formulates the variables, costs and constraints using ifopt, so it makes sense to briefly familiarize with the syntax using [this example].
- A minimal towr example without ROS, formulating a problem for a one-legged hopper, can be seen here and is great starting point.
- We recommend using the ROS infrastructure provided to dynamically visualize, plot and change the problem formulation. To define your own problem using this infrastructure, use this example as a guide.
Add your own variables, costs and constraints
- This library provides a set of variables, costs and constraints to formulate the trajectory optimization problem. An example formulation of how to combine these is given, however, this formulation can probably be improved. To add your own e.g. constraint-set, define a class with it's values and derivatives, and then add it to the formulation
nlp.AddConstraintSet(your_custom_constraints);as shown here.
Add your own robot
- Want to add your own robot to towr? Start here.
- To visualize that robot in rviz, see [xpp].
Contribute
We love pull request, whether its new constraint formulations, additional robot models, bug fixes, unit tests or updating the documentation. Please have a look at CONTRIBUTING.md for more information.
See here the list of contributors who participated in this project.
Publications
All publications underlying this code can be found here. The core paper is:
@article{winkler18,
author = {Winkler, Alexander W and Bellicoso, Dario C and
Hutter, Marco and Buchli, Jonas},
title = {Gait and Trajectory Optimization for Legged Systems
through Phase-based End-Effector Parameterization},
journal = {IEEE Robotics and Automation Letters (RA-L)},
year = {2018},
month = {July},
pages = {1560-1567},
volume = {3},
doi = {10.1109/LRA.2018.2798285},
}
A broader overview of the topic of Trajectory optimization and derivation of the Single-Rigid-Body Dynamics model used in this work: DOI 10.3929/ethz-b-000272432
Authors
Alexander W. Winkler - Initial Work/Maintainer
The work was carried out at the following institutions:
[A. W. Winkler]: https://awinkler.github.io/publications.html [CMake]: https://cmake.org/cmake/help/v3.0/ [std_msgs]: http://wiki.ros.org/std_msgs [roscpp]: http://wiki.ros.org/roscpp [message_generation]: http://wiki.ros.org/message_generation [rosbag]: http://wiki.ros.org/rosbag [HyQ]: https://www.iit.it/research/lines/dynamic-legged-systems [ANYmal]: http://www.rsl.ethz.ch/robots-media/anymal.html [ROS]: http://www.ros.org [xpp]: http://wiki.ros.org/xpp [ifopt_core]: https://github.com/ethz-adrl/ifopt [ifopt]: https://github.com/ethz-adrl/ifopt [Ipopt]: https://projects.coin-or.org/Ipopt [ncurses]: http://invisible-island.net/ncurses/man/ncurses.3x.html [xterm]: https://linux.die.net/man/1/xterm [Snopt]: http://www.sbsi-sol-optimize.com/asp/sol_product_snopt.htm [rviz]: http://wiki.ros.org/rviz [catkin]: http://wiki.ros.org/catkin [catkin tools]: http://catkin-tools.readthedocs.org/ [Eigen]: http://eigen.tuxfamily.org [this example]: https://github.com/ethz-adrl/ifopt/blob/master/ifopt_core/test/ifopt/test_vars_constr_cost.h
Repository Summary
| Checkout URI | https://github.com/ethz-adrl/towr.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2019-04-12 |
| Dev Status | DEVELOPED |
| Released | RELEASED |
README

A light-weight and extensible C++ library for trajectory optimization for legged robots.
A base-set of variables, costs and constraints that can be combined and extended to formulate trajectory optimization problems for legged systems. These implementations have been used to generate a variety of motions such as monoped hopping, biped walking, or a complete quadruped trotting cycle, while optimizing over the gait and step durations in less than 100ms (paper).
Features:
:heavy_check_mark: Inuitive and efficient formulation of variables, cost and constraints using [Eigen].
:heavy_check_mark: [ifopt] enables using the high-performance solvers [Ipopt] and [Snopt].
:heavy_check_mark: Elegant rviz visualization of motion plans using [xpp].
:heavy_check_mark: [ROS]/[catkin] integration (optional).
:heavy_check_mark: Light-weight (~6k lines of code) makes it easy to use and extend.
Install • Run • Develop • Contribute • Publications • Authors
Install
The easiest way to install is through the ROS binaries:
sudo apt-get install ros-<ros-distro>-towr-ros
In case these don't yet exist for your distro, there are two ways to build this code from source: * Option 1: core library and hopper-example with pure [CMake]. * Option 2 (recommended): core library & GUI & ROS-rviz-visualization built with [catkin] and [ROS].
Building with CMake
- Install dependencies [CMake], [Eigen], [Ipopt]:
sudo apt-get install cmake libeigen3-dev coinor-libipopt-dev
Install [ifopt], by cloning the repo and then: cmake .. && make install on your system.
- Build towr:
git clone https://github.com/ethz-adrl/towr.git && cd towr/towr
mkdir build && cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make
sudo make install # copies files in this folder to /usr/local/*
# sudo xargs rm < install_manifest.txt # in case you want to uninstall the above
- Test (hopper_example.cc): Generates a motion for a one-legged hopper using Ipopt
./towr-example # or ./towr-test if gtest was found
- Use: You can easily customize and add your own constraints and variables to the optimization problem. Herefore, add the following to your CMakeLists.txt:
find_package(towr 1.2 REQUIRED)
add_executable(main main.cpp) # Your custom variables, costs and constraints added to TOWR
target_link_libraries(main PUBLIC towr::towr) # adds include directories and libraries
Building with catkin
We provide a [ROS]-wrapper for the pure cmake towr library, which adds a keyboard interface to modify goal state and motion types as well as visualizes the produces motions plans in rviz using [xpp].
- Install dependencies [CMake], [catkin], [Eigen], [Ipopt], [ROS], [xpp], [ncurses], [xterm]:
sudo apt-get install cmake libeigen3-dev coinor-libipopt-dev libncurses5-dev xterm
sudo apt-get install ros-<ros-distro>-desktop-full ros-<ros-distro>-xpp
- Build workspace:
cd catkin_workspace/src
git clone https://github.com/ethz-adrl/ifopt.git
git clone https://github.com/ethz-adrl/towr.git
cd ..
catkin_make_isolated -DCMAKE_BUILD_TYPE=Release # or `catkin build`
source ./devel_isolated/setup.bash
- Use: Include in your catkin project by adding to your CMakeLists.txt
add_compile_options(-std=c++11)
find_package(catkin COMPONENTS towr)
include_directories(${catkin_INCLUDE_DIRS})
target_link_libraries(foo ${catkin_LIBRARIES})
Add the following to your package.xml:
<package>
<depend>towr</depend>
</package>
Run
Launch the program using
roslaunch towr_ros towr_ros.launch # debug:=true (to debug with gdb)
Click in the xterm terminal and hit 'o'.
Information about how to tune the paramters can be found here.
Develop
Library overview
- The relevant classes and parameters to build on are collected modules.
- A nice graphical overview as UML can be seen here.
- The doxygen documentation provides helpul information for developers.
Problem formulation
- This code formulates the variables, costs and constraints using ifopt, so it makes sense to briefly familiarize with the syntax using [this example].
- A minimal towr example without ROS, formulating a problem for a one-legged hopper, can be seen here and is great starting point.
- We recommend using the ROS infrastructure provided to dynamically visualize, plot and change the problem formulation. To define your own problem using this infrastructure, use this example as a guide.
Add your own variables, costs and constraints
- This library provides a set of variables, costs and constraints to formulate the trajectory optimization problem. An example formulation of how to combine these is given, however, this formulation can probably be improved. To add your own e.g. constraint-set, define a class with it's values and derivatives, and then add it to the formulation
nlp.AddConstraintSet(your_custom_constraints);as shown here.
Add your own robot
- Want to add your own robot to towr? Start here.
- To visualize that robot in rviz, see [xpp].
Contribute
We love pull request, whether its new constraint formulations, additional robot models, bug fixes, unit tests or updating the documentation. Please have a look at CONTRIBUTING.md for more information.
See here the list of contributors who participated in this project.
Publications
All publications underlying this code can be found here. The core paper is:
@article{winkler18,
author = {Winkler, Alexander W and Bellicoso, Dario C and
Hutter, Marco and Buchli, Jonas},
title = {Gait and Trajectory Optimization for Legged Systems
through Phase-based End-Effector Parameterization},
journal = {IEEE Robotics and Automation Letters (RA-L)},
year = {2018},
month = {July},
pages = {1560-1567},
volume = {3},
doi = {10.1109/LRA.2018.2798285},
}
A broader overview of the topic of Trajectory optimization and derivation of the Single-Rigid-Body Dynamics model used in this work: DOI 10.3929/ethz-b-000272432
Authors
Alexander W. Winkler - Initial Work/Maintainer
The work was carried out at the following institutions:
[A. W. Winkler]: https://awinkler.github.io/publications.html [CMake]: https://cmake.org/cmake/help/v3.0/ [std_msgs]: http://wiki.ros.org/std_msgs [roscpp]: http://wiki.ros.org/roscpp [message_generation]: http://wiki.ros.org/message_generation [rosbag]: http://wiki.ros.org/rosbag [HyQ]: https://www.iit.it/research/lines/dynamic-legged-systems [ANYmal]: http://www.rsl.ethz.ch/robots-media/anymal.html [ROS]: http://www.ros.org [xpp]: http://wiki.ros.org/xpp [ifopt_core]: https://github.com/ethz-adrl/ifopt [ifopt]: https://github.com/ethz-adrl/ifopt [Ipopt]: https://projects.coin-or.org/Ipopt [ncurses]: http://invisible-island.net/ncurses/man/ncurses.3x.html [xterm]: https://linux.die.net/man/1/xterm [Snopt]: http://www.sbsi-sol-optimize.com/asp/sol_product_snopt.htm [rviz]: http://wiki.ros.org/rviz [catkin]: http://wiki.ros.org/catkin [catkin tools]: http://catkin-tools.readthedocs.org/ [Eigen]: http://eigen.tuxfamily.org [this example]: https://github.com/ethz-adrl/ifopt/blob/master/ifopt_core/test/ifopt/test_vars_constr_cost.h
Repository Summary
| Checkout URI | https://github.com/ethz-adrl/towr.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2019-04-12 |
| Dev Status | DEVELOPED |
| Released | UNRELEASED |
README

A light-weight and extensible C++ library for trajectory optimization for legged robots.
A base-set of variables, costs and constraints that can be combined and extended to formulate trajectory optimization problems for legged systems. These implementations have been used to generate a variety of motions such as monoped hopping, biped walking, or a complete quadruped trotting cycle, while optimizing over the gait and step durations in less than 100ms (paper).
Features:
:heavy_check_mark: Inuitive and efficient formulation of variables, cost and constraints using [Eigen].
:heavy_check_mark: [ifopt] enables using the high-performance solvers [Ipopt] and [Snopt].
:heavy_check_mark: Elegant rviz visualization of motion plans using [xpp].
:heavy_check_mark: [ROS]/[catkin] integration (optional).
:heavy_check_mark: Light-weight (~6k lines of code) makes it easy to use and extend.
Install • Run • Develop • Contribute • Publications • Authors
Install
The easiest way to install is through the ROS binaries:
sudo apt-get install ros-<ros-distro>-towr-ros
In case these don't yet exist for your distro, there are two ways to build this code from source: * Option 1: core library and hopper-example with pure [CMake]. * Option 2 (recommended): core library & GUI & ROS-rviz-visualization built with [catkin] and [ROS].
Building with CMake
- Install dependencies [CMake], [Eigen], [Ipopt]:
sudo apt-get install cmake libeigen3-dev coinor-libipopt-dev
Install [ifopt], by cloning the repo and then: cmake .. && make install on your system.
- Build towr:
git clone https://github.com/ethz-adrl/towr.git && cd towr/towr
mkdir build && cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
make
sudo make install # copies files in this folder to /usr/local/*
# sudo xargs rm < install_manifest.txt # in case you want to uninstall the above
- Test (hopper_example.cc): Generates a motion for a one-legged hopper using Ipopt
./towr-example # or ./towr-test if gtest was found
- Use: You can easily customize and add your own constraints and variables to the optimization problem. Herefore, add the following to your CMakeLists.txt:
find_package(towr 1.2 REQUIRED)
add_executable(main main.cpp) # Your custom variables, costs and constraints added to TOWR
target_link_libraries(main PUBLIC towr::towr) # adds include directories and libraries
Building with catkin
We provide a [ROS]-wrapper for the pure cmake towr library, which adds a keyboard interface to modify goal state and motion types as well as visualizes the produces motions plans in rviz using [xpp].
- Install dependencies [CMake], [catkin], [Eigen], [Ipopt], [ROS], [xpp], [ncurses], [xterm]:
sudo apt-get install cmake libeigen3-dev coinor-libipopt-dev libncurses5-dev xterm
sudo apt-get install ros-<ros-distro>-desktop-full ros-<ros-distro>-xpp
- Build workspace:
cd catkin_workspace/src
git clone https://github.com/ethz-adrl/ifopt.git
git clone https://github.com/ethz-adrl/towr.git
cd ..
catkin_make_isolated -DCMAKE_BUILD_TYPE=Release # or `catkin build`
source ./devel_isolated/setup.bash
- Use: Include in your catkin project by adding to your CMakeLists.txt
add_compile_options(-std=c++11)
find_package(catkin COMPONENTS towr)
include_directories(${catkin_INCLUDE_DIRS})
target_link_libraries(foo ${catkin_LIBRARIES})
Add the following to your package.xml:
<package>
<depend>towr</depend>
</package>
Run
Launch the program using
roslaunch towr_ros towr_ros.launch # debug:=true (to debug with gdb)
Click in the xterm terminal and hit 'o'.
Information about how to tune the paramters can be found here.
Develop
Library overview
- The relevant classes and parameters to build on are collected modules.
- A nice graphical overview as UML can be seen here.
- The doxygen documentation provides helpul information for developers.
Problem formulation
- This code formulates the variables, costs and constraints using ifopt, so it makes sense to briefly familiarize with the syntax using [this example].
- A minimal towr example without ROS, formulating a problem for a one-legged hopper, can be seen here and is great starting point.
- We recommend using the ROS infrastructure provided to dynamically visualize, plot and change the problem formulation. To define your own problem using this infrastructure, use this example as a guide.
Add your own variables, costs and constraints
- This library provides a set of variables, costs and constraints to formulate the trajectory optimization problem. An example formulation of how to combine these is given, however, this formulation can probably be improved. To add your own e.g. constraint-set, define a class with it's values and derivatives, and then add it to the formulation
nlp.AddConstraintSet(your_custom_constraints);as shown here.
Add your own robot
- Want to add your own robot to towr? Start here.
- To visualize that robot in rviz, see [xpp].
Contribute
We love pull request, whether its new constraint formulations, additional robot models, bug fixes, unit tests or updating the documentation. Please have a look at CONTRIBUTING.md for more information.
See here the list of contributors who participated in this project.
Publications
All publications underlying this code can be found here. The core paper is:
@article{winkler18,
author = {Winkler, Alexander W and Bellicoso, Dario C and
Hutter, Marco and Buchli, Jonas},
title = {Gait and Trajectory Optimization for Legged Systems
through Phase-based End-Effector Parameterization},
journal = {IEEE Robotics and Automation Letters (RA-L)},
year = {2018},
month = {July},
pages = {1560-1567},
volume = {3},
doi = {10.1109/LRA.2018.2798285},
}
A broader overview of the topic of Trajectory optimization and derivation of the Single-Rigid-Body Dynamics model used in this work: DOI 10.3929/ethz-b-000272432
Authors
Alexander W. Winkler - Initial Work/Maintainer
The work was carried out at the following institutions:
[A. W. Winkler]: https://awinkler.github.io/publications.html [CMake]: https://cmake.org/cmake/help/v3.0/ [std_msgs]: http://wiki.ros.org/std_msgs [roscpp]: http://wiki.ros.org/roscpp [message_generation]: http://wiki.ros.org/message_generation [rosbag]: http://wiki.ros.org/rosbag [HyQ]: https://www.iit.it/research/lines/dynamic-legged-systems [ANYmal]: http://www.rsl.ethz.ch/robots-media/anymal.html [ROS]: http://www.ros.org [xpp]: http://wiki.ros.org/xpp [ifopt_core]: https://github.com/ethz-adrl/ifopt [ifopt]: https://github.com/ethz-adrl/ifopt [Ipopt]: https://projects.coin-or.org/Ipopt [ncurses]: http://invisible-island.net/ncurses/man/ncurses.3x.html [xterm]: https://linux.die.net/man/1/xterm [Snopt]: http://www.sbsi-sol-optimize.com/asp/sol_product_snopt.htm [rviz]: http://wiki.ros.org/rviz [catkin]: http://wiki.ros.org/catkin [catkin tools]: http://catkin-tools.readthedocs.org/ [Eigen]: http://eigen.tuxfamily.org [this example]: https://github.com/ethz-adrl/ifopt/blob/master/ifopt_core/test/ifopt/test_vars_constr_cost.h

