EIPL (Embodied Intelligence with Deep Predictive Learning) is a library for robot motion generation using deep predictive learning developed at Ogata Laboratory, Waseda University. Highlighted features include:
- Full documentation for the systematic understanding of deep predictive learning
- Easy model training: Includes sample datasets, source code, and pre-trained weights
- Applicable to real robots: Generalized motion can be acquired with small data sets
pip install -r requirements.txt
pip install -e .@article{suzuki2023deep,
author = {Kanata Suzuki and Hiroshi Ito and Tatsuro Yamada and Kei Kase and Tetsuya Ogata},
title = {Deep Predictive Learning : Motion Learning Concept inspired by Cognitive Robotics},
booktitle = {arXiv preprint arXiv:2306.14714},
year = {2023},
}
MIT License