The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control. It covers spatial vector algebra, multibody systems, hardware abstraction, path planning, collision detection, and visualization. It is being used in research projects and in education, available under a BSD license, and free for use in commercial applications. RL runs on many different systems, including Linux, macOS, and Windows. It uses CMake as a build system and can be compiled with Clang, GCC, and Visual Studio.

We offer precompiled Ubuntu packages on Launchpad as well as Windows binaries on GitHub for the latest release version, while Homebrew can be used on macOS to build corresponding packages. Tutorials on our website provide further information on how to develop applications using RL.

These tutorials include instructions on how to

• install the latest release on Ubuntu, Windows, or macOS,
• create your first program using RL on Linux or Windows,
• have a look at our short API overview and our documentation,
• create your robot model with a kinematics and geometry definition,
• plan a collision-free path in your path planning scenario,
• build RL from source on Ubuntu, Windows, or macOS.

RL includes a number of demo applications and a selection of kinematics, geometry, and path planning examples that demonstrate how to use it for more advanced applications. Due to their size, a larger set of examples can be found in a separate repository.

Among several others, these demo applications include

• a tool for converting between rotation matrices, angle axis, quaternions, and Euler angles,
• the visualization of collision detection queries that can highlight intersections, minimum distance, and penetration depth,
• a kinematics simulator that uses a TCP port for joint position updates,
• a dynamics simulator that listens for joint torque updates,
• the calculation of a collision-free path using a Probabilistic Roadmap or a Rapidly-Exploring Random Tree,
• the visualization of path planning queries based on scenario definitions from an XML file,
• robot forward and inverse dynamics using the Recursive Newton-Euler and Articulated-Body Algorithm methods,
• the calculation of dynamics properties such as mass matrix, centrifugal and Coriolis forces, or gravity compensation,
• the calculation and sending of a trajectory to a robot controller based on a cubic or quintic polynomial.

For more detailed information on the design of the Robotics Library, please have a look at our IROS paper. The reference is

Markus Rickert and Andre Gaschler. Robotics Library: An object-oriented approach to robot applications. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 733–740, Vancouver, BC, Canada, September 2017.

@InProceedings{Rickert2017a,
  author    = {Markus Rickert and Andre Gaschler},
  title     = {{R}obotics {L}ibrary: An Object-Oriented Approach to Robot Applications},
  booktitle = {Proceedings of the {IEEE}/{RSJ} International Conference on Intelligent Robots and Systems},
  year      = {2017},
  pages     = {733--740},
  address   = {Vancouver, BC, Canada},
  month     = sep,
  doi       = {10.1109/IROS.2017.8202232},
}

All source code files of RL are licensed under the permissive BSD 2-clause license. For the licenses of third-party dependencies, please refer to the respective projects.