pbdlib-python-master.zip

### Papers-related pages If you came there reading one of the following works, please directly go to the related page. - [Bayesian Gaussian mixture model for robotic policy imitation](https://gitlab.idiap.ch/rli/pbdlib-python/blob/master/pop/readme.md) # pbdlib Pbdlib is a python library for robot programming by demonstration. The goal is to provide users with an easy to use library of algorithms that can be used to learn movement primitives using probabilistic tools. This Python version of Pbdlib is maintained by the Idiap Research Institute. Pbdlib is a collection of codes available in different languages and developed as a joint effort between the Idiap Research Institute and the Italian Institute of Technology (IIT). For more information see http://www.idiap.ch/software/pbdlib/. ### License Copyright (c) 2023 Idiap Research Institute, https://idiap.ch/ Pbdlib-python is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License version 3 as published by the Free Software Foundation. You should have received a copy of the GNU General Public License along with RCFS. If not, see <https://www.gnu.org/licenses/>. ## References If you find these codes useful for your research, please acknowledge the authors by citing: Pignat, E. and Calinon, S. (2017). [Learning adaptive dressing assistance from human demonstration](http://doi.org/10.1016/j.robot.2017.03.017). Robotics and Autonomous Systems 93, 61-75. # Installation This requires v3.X of Python. Following these instructions install the library without copying the files, allowing to edit the sources files without reinstalling. cd pbdlib-python pip install -e . If pip is not install, you can get it that way: sudo apt-get install python-pip ## Launching the notebooks tutorial Launch jupyter server with: jupyter notebook notebooks/ Then navigate through folders and click on desired notebook. | Filename | Description | |----------|-------------| | pbdlib - basics.ipynb| Overview of the main functionalities of pbdlib.| | pbdlib - lqr.ipynb| Linear quadratic regulator to regerate trajectories.| | pbdlib - Multiple coordinate systems.ipynb| This example shows how motions can adapt to various positions and orientations of objects by projecting the demonstrations in several coordinate systems.| ### MEMMO related examples Launch jupyter server with: jupyter notebook notebooks/MEMMO/ ## User interface for recording data with the mouse ### Installation sudo apt-get intall python-tk ### Use cd notebooks python record_demo.py -p /path/to/folder -f filename You can click on move the mouse on the left panel to record demonstrations. Press "h" for help. Save with "q". To record demos with additional moving objects, run python record_demo.py -p /path/to/folder -f filename -m -c number_of_object By pressing, the number corresponding to the desired object on your keyboard, you will make it appear and be able to move it. Rotate them by holding the key of the number and turning the scrollwheel of your mouse.