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* Add post-processor params header.

* Add getTrajectoryPostProcessor() method to ConcreteRobot.

* Add postProcessPath() to ConcreteRobot.

* Re-org post-processor params like Brian suggested.

* Leave better comment on PostProcessorParams struct.

* Rename Hauser/Kunz param structs to just `Params`, set default args.

* [WIP] Add new Kunz/Hauser constructors.

* Change getTrajectoryPostProcessor() to take limits.

* Make format.

* Add new postProcessPath() to ConcreteRobot that takes limits.

* [WIP] Think I re-wrote PostProcessorParams.hpp to work but holy cow a
lot broke.

* Move ConcreteRobot post-process stuff to -impl files.

* Actually move Params structs into their PP classes.

* In ConcreteRobot -> postProcessPath(), print and return null instead of
throwing.

* Whoops, tiny bug fix.

* Mark PostProcessorParams -> getParams() as const.

* Respond to nits.

* Update CHANGELOG.

* Update CHANGELOG.

* Respond to some nits.

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* Kill PostProcessorParams.hpp.

* Last nits, I think.

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* Fix bug with missing template params.

Co-authored-by: Brian Hou <brianhou@users.noreply.github.com>
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README.md

AIKIDO - AI for KIDO Build Status codecov Codacy Badge

⚠️ Warning: AIKIDO is under heavy development. These instructions are primarily for reference by the developers.

AIKIDO is a C++ library, complete with Python bindings, for solving robotic motion planning and decision making problems. This library is tightly integrated with DART for kinematic/dynamics calculations and OMPL for motion planning. AIKIDO optionally integrates with ROS, through the suite of aikido_ros packages, for execution on real robots.

Installation

On Ubuntu Trusty using apt-get

AIKIDO depends on ROS. You should install ROS by adding the ROS repository to your sources.list as follows. We encourage users to install indigo.

$ sudo sh -c 'echo "deb http://packages.ros.org/ros/ubuntu $(lsb_release -sc) main" > /etc/apt/sources.list.d/ros-latest.list'
$ sudo apt-key adv --keyserver 'hkp://keyserver.ubuntu.com:80' --recv-key C1CF6E31E6BADE8868B172B4F42ED6FBAB17C654
$ sudo apt-get update
$ sudo apt-get install ros-indigo-actionlib ros-indigo-geometry-msgs ros-indigo-interactive-markers ros-indigo-roscpp ros-indigo-std-msgs ros-indigo-tf ros-indigo-trajectory-msgs ros-indigo-visualization-msgs

Once ROS is installed, you can install AIKIDO from the Personal Robotics Lab PPA:

$ sudo add-apt-repository ppa:libccd-debs/ppa
$ sudo add-apt-repository ppa:fcl-debs/ppa
$ sudo add-apt-repository ppa:dartsim/ppa
$ sudo add-apt-repository ppa:personalrobotics/ppa
$ sudo apt-get update
$ sudo apt-get install libaikido-all-dev

On macOS using Homebrew

# Install the Homebrew package manager
$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# Add Homebrew tap for Personal Robotics Lab software
$ brew tap personalrobotics/tap
# Install AIKIDO
$ brew install aikido

Note: While ROS seems to be available on macOS, we haven't tested it with AIKIDO. For now, brew install aikido installs AIKIDO without the ROS-dependent components.

Building from Source

Dependencies

AIKIDO depends on CMake, Boost, DART (version 6.3 or above), OMPL, yaml-cpp, tinyxml2, pr-control-msgs, libmicrohttpd, and the Python development headers (python-dev on Debian systems). DART and AIKIDO both make heavy use of C++14 and require a modern compiler.

On Ubuntu Trusty using CMake

You should install the ROS packages as described above to build all the ROS-dependent AIKIDO components (e.g., aikido-control-ros).

Install the other dependencies:

$ sudo add-apt-repository ppa:libccd-debs/ppa
$ sudo add-apt-repository ppa:fcl-debs/ppa
$ sudo add-apt-repository ppa:dartsim/ppa
$ sudo add-apt-repository ppa:personalrobotics/ppa
$ sudo apt-get update
$ sudo apt-get install cmake build-essential libboost-filesystem-dev libdart6-optimizer-nlopt-dev libdart6-utils-dev libdart6-utils-urdf-dev libmicrohttpd-dev libompl-dev libtinyxml2-dev libyaml-cpp-dev pr-control-msgs

Once the dependencies are installed, you can build and install AIKIDO using CMake:

$ mkdir build
$ cd build
$ cmake ..
$ make  # you may want to build AIKIDO using multi-core by executing `make -j4`
$ sudo make install

AIKIDO includes several optional components that depend on ROS. While we suggest building AIKIDO in a Catkin workspace (see below) to enable the ROS components, it is also possible to build those components in a standalone build. To do so, source the setup.bash file in your Catkin workspace before running the above commands, e.g.:

$ . /path/to/my/workspace/setup.bash

On Ubuntu Trusty using Catkin

It is also possible to build AIKIDO as a third-party package inside a Catkin workspace. To do so, clone AIKIDO into your Catkin workspace and use the catkin build command like normal.

If you are using the older catkin_make command, then you must build your workspace with catkin_make_isolated. This may dramatically increase your build time, so we strongly recommend that you use catkin build, which is provided by the catkin_tools package, if possible.

On macOS using CMake

Please install Homebrew as described above, then you can easily install the dependencies as follows:

$ cd <aikido_directory>
$ brew bundle

Once the dependencies are installed, you can build and install AIKIDO using CMake:

$ cd <aikido_directory>
$ mkdir build
$ cd build
$ cmake ..
$ make  # you may want to build AIKIDO using multi-core by executing `make -j4`
$ sudo make install

Code Style

Please follow the AIKIDO style guidelines when making a contribution.

License

AIKIDO is licensed under a BSD license. See LICENSE for more information.

Authors

AIKIDO is developed by the Personal Robotics Lab in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. The library was started by Michael Koval (@mkoval) and Pras Velagapudi (@psigen). It has received major contributions from Shushman Choudhury (@Shushman), Brian Hou (@brianhou), Aaron Johnson (@aaronjoh), Jennifer King (@jeking), Gilwoo Lee (@gilwoolee), Jeongseok Lee (@jslee02), and Clint Liddick (@ClintLiddick). We also would like to thank Michael Grey (@mxgrey) and Jeongseok Lee (@jslee02) for making changes to DART to better support AIKIDO.

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