Project description

ADNAP

Reverse engineer the Panda dynamics model.

pip install adnap

The dependency panda-model requires POCO C++ libraries and Eigen3 to be installed. On Ubuntu install them by running:

sudo apt-get install libpoco-dev libeigen3-dev

Point the environment variable to the libfranka shared library downloaded with panda-model

export PANDA_MODEL_PATH=<path-to-libfrankamodel.so>

Run optimization with 10 random samples from the Panda state-space and save results in params.npy:

adnap-optimize -n 10 -o params.npy

Evaluate the optimized physical parameters against the shared library on 1000 random samples:

adnap-evaluate -n 1000 params.npy

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.3.0

Feb 23, 2023

0.1.0

Feb 23, 2023

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Feb 23, 2023 Source

Uploaded Feb 23, 2023 Python 3

Hashes for adnap-0.3.0.tar.gz
Algorithm	Hash digest
SHA256	`215afc383f917257a70f41cbdb1fa7a27947f1ef56b6615ca25a920fc6e4f20b`
MD5	`dbf1fa77fb6f61cd15a578972682318d`
BLAKE2b-256	`56f0d9f6fd3ff098dee60821b6f00bbd4a7b738342f2dff1b9464c7477a2a409`

Hashes for adnap-0.3.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`ca99fbcd2155d110ea1baa69190412b457c2ec7ffa123bd36e73efb98560478a`
MD5	`390caf3a24fc721cf5ee35b646548e56`
BLAKE2b-256	`186be218fa06584629a4f9281f84e5978b1981e5ea2aedaad9b28d3613eecf3b`