Non-parametric Bayesian learning of robot behaviors from demonstration
Project description
- This repository contains the Python/Cython core of our work on non-parametric Bayesian learning of robot behaviors from demonstration.
Stéphane Magnenat and Francis Colas. Copyright (c) 2011-2018 ETH Zurich. This work was mostly done at the Autonomous Systems Lab (http://www.asl.ethz.ch/).
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Close
Hashes for bayesian_trajectory_replay-1.0.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a6bf28569e4bf9c748b48de3bbab3e8396f35f33294448bb42a3b1f55c0c8244 |
|
MD5 | 2708e3e9658912bbe65537bc4df4f013 |
|
BLAKE2b-256 | 42b6e6c651f31bc29562982cb28982edf607bfb872527530e29ac7e46a504cdb |