WARNING: Python 3.10+; Numpy 1.22 +
This is a brief guide to the WRS Robot Planning & Learning Data Preparation System. For detailed technical descriptions and usage, go to the document pages hosted at my homepage.
- Universal Robots UR3e Planning & Control System: https://github.com/maganrobotics/urmanipulation
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
The following packages are needed to run this system.
panda3d>=1.10.7 # vital, visualization
numpy>=1.22.2 # vital, matrix computation
opencv-python>=4.4.0.46 # optional, required by vision
opencv-contrib-python>=4.4.0.46 # optional, required by vision
scikit-learn>=0.23.2 # vital?
grpcio>=1.34.0
grpcio-tools>=1.34.0
PyYAML>=5.3.1 # grpc formatting
Rtree>=0.9.7 # required by trimesh
open3d>=0.12.0 # required for cloud processing
shapely>=1.7.1 # required by ?
networkx>=2.5.1 # vital
pyserial>=3.4 # required by xarm controllers
pandas>=1.3.4 # required for neuro ik
# cython>=0.29.27 # required for speeding up
# gimpact # optional mesh-level collision detection
A step by step series of examples that tell you how to get a development env running. The recommended IDE(Integrated Development Environment) is PyCharm. You can get a community version for research purpose at PyCharm Community Version. Other platform like Visual Studio Code might also be helpful, although I never tested them.
Clone this repository to your local disk and open the folder as a project in your PyCharm IDE, you will see all packages in the Project View. Their names and usage are as follows.
basis: Basic helper functions for math computation, data structure conversion, and trimesh processing.
drivers.devices: Wrapper for the low-level robot or sensor APIs.
drivers.rpc: Remote procedure call interfaces. To be run on remote servers.
grasping: Grasp planners.
manipulation: Stability Analyzers; Placement planners.
planning: Trajectory-level and probabilistic motion-level planners.
robotcon: Interface functions to connect and control robots.
robotsim: Robot classes are defined in this package.
vision: Utility functiosn for processing 2D and 3D vision data.
visualization: Graphics. Panda3D is the main graphics engine.
Besides the abovementioned packages, there is a 0000_example folder that hosts several examples. Run the following one to examine if your the prerequisites and key packages work correctly.
TODO
This project is licensed under the MIT License - see the LICENSE.md file for details
- Thank all related students in HLab for using and suggesting to this software.
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