This is a collection of open source software developed by the Robotics Innovation Center (RIC) of DFKI GmbH (German Research Center for Artificial Intelligence GmbH).
In addition to the software under this organization, DFKI RIC also released and maintains software in other GitHub organizations. Here is an overview of both.
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Rock (Robot Construction Kit) is a middleware for robotic software development. It has a large infrastructure and modules are distributed over multiple GitHub organizations: rock-core, rock-gui, rock-drivers, rock-control, rock-perception, rock-slam, rock-planning, rock-simulation, rock-learning, rock-multiagent, rock-data-processing, rock-tutorials, rock-bundles, rock-knowledge-reasoning |
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MARS (robot simulation) is a cross-platform simulation and visualisation tool created for robotics research. |
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Phobos Phobos is an add-on for the open-source 3D modeling software Blender that enables the creation of WYSIWYG robot models for use in robot frameworks like ROS and ROCK or in real-time simulations such as MARS or Gazebo. Phobos exports formats such as URDF, SDF or SMURF and common mesh formats (Stereolithography (.stl), Wavefront (.obj) or Collada (.dae)). |
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ARC-OPT (Adaptive Robot Control using Optimization) is a collection of tools for optimization-based control of robotic systems. |
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SLAM3D: The SLAM3D library is a standalone framework for multimodal graph-based Simultaneous Localization and Mapping. Its main purpose is to hold arbitrary measurements from various sensors (and possibly various agents) in a graph structure. Maps can be created from specific sensor types (e.g., pointclouds with PCL) using the readings within the graph. Global relaxation is done by an optimization backend, currently g²o. |
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EnviRe (Environment Representation) can be used to represent information of the environment for a robotic system. |
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pytransform3d: A Python library for transformations in three dimensions. |
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PAZ (Perception for Autonomous Systems) is a hierarchical perception library based on deep learning. |
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PySpace is a signal processing and classification environment in Python. |
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movement_primitives: Dynamical movement primitives (DMPs), probabilistic movement primitives (ProMPs), and spatially coupled bimanual DMPs for imitation learning. |
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Underactuated Lab: Open source software released by the Underactuated Robotics Lab at DFKI RIC. |
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DFKI RIC Team QML: Open source software released by the team Quantum Machine Learning (QML) at DFKI RIC. |
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UGV_NAV4D: The ugv_nav4d is a path planner for unmanned grounded vehicles (UGV's) which can be used to navigate complex indoor and outdoor environments. It provides a traversable, motion constraint compliant, and collision free trajectory. It is highly customizable and can be used for any type of terrestrial robot. |
| BIG (Bayesian Inverse Graphics): Code for the paper "Bayesian Inverse Graphics for Few-Shot Concept Learning". | |
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Robot Remote Control: Leightwight Remote Interface Library for Mobile Robots |
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Docker Image Development: Scripts to use docker as development environment with GUIs and 3d acceleration. Uses mounted code but also allowing to build fully functional images |
