The Generic Manipulation Driver Package - Implements a ROS Interface over the robotics toolbox for Python

Overview

Armer Driver

QUT Centre for Robotics Open Source License: MIT Build Status Language grade: Python Coverage

image

Armer documentation can be found here

image

Armer aims to provide an interface layer between the hardware drivers of a robotic arm giving the user control in several ways:

In addition to a multiple control method layer, Armer is designed to be a compatability layer allowing the user to use the same code across different robotic platforms. Armer supports control for physical and simulated arms giving users the ability to develop even without access to a physical manipulator.

Below is a gif of 3 different simulated arms moving with the same cartesian velocity commands.

image

Requirements

Several ROS action servers, topics and services are set up by Armer to enable this functionality. A summary of these can be found here.

Armer is built on the Python Robotics Toolbox (RTB) and requires a URDF loaded RTB model to calculate the required movement kinematics, RTB comes with browser based simulator Swift which Armer uses as an out of the box simulator.

Due to these supporting packages using Armer with a manipulator will require several requirements:

Software requirements

Robot specific requirements

  • ROS drivers with joint velocity controllers
  • Robotics Toolbox model

Installation

Copy and paste the following code snippet into a terminal to create a new catkin workspace and install Armer to it. Note this script will also add the workspace to be sourced every time a bash terminal is opened.

sudo apt install python3-pip 
mkdir -p ~/armer_ws/src && cd ~/armer_ws/src 
git clone https://github.com/qcr/armer.git && git clone https://github.com/qcr/armer_msgs 
cd .. && rosdep install --from-paths src --ignore-src -r -y 
catkin_make 
echo "source ~/armer_ws/devel/setup.bash" >> ~/.bashrc 
source ~/armer_ws/devel/setup.bash
echo "Installation complete!"

Supported Arms

Armer relies on the manipulator's ROS driver to communicate with the low level hardware so the the ROS drivers must be started along side Armer.

Currently Armer driver has packages that launches Armer and the target manipulator's drivers are bundled together. If your arm model has a hardware package, control should be a fairly plug and play experience. (An experience we are still working on so please let us know if it isn't.). Below are the github pages to arms with hardware packages. Install directions can be found on their respective pages.

For more information on setting up manipulators not listed here see the Armer documentation, Supported Arms.

Usage

The Armer interface can be launched with the following command:

roslaunch armer_{ROBOT_MODEL} robot_bringup.launch config:={PATH_TO_CONFIG_YAML_FILE} sim:={true/false}

After launching, an arm can be controlled in several ways. Some quick tutorials can be referenced below:

For more information and examples see the Armer documentation

Owner
QUT Centre for Robotics (QCR)
A collection of the open source projects released by the QUT Centre for Robotics (QCR).
QUT Centre for Robotics (QCR)
Pretty Tensor - Fluent Neural Networks in TensorFlow

Pretty Tensor provides a high level builder API for TensorFlow. It provides thin wrappers on Tensors so that you can easily build multi-layer neural networks.

Google 1.2k Dec 29, 2022
Neural style transfer in PyTorch.

style-transfer-pytorch An implementation of neural style transfer (A Neural Algorithm of Artistic Style) in PyTorch, supporting CPUs and Nvidia GPUs.

Katherine Crowson 395 Jan 06, 2023
Deep Learning with PyTorch made easy 🚀 !

Deep Learning with PyTorch made easy 🚀 ! Carefree? carefree-learn aims to provide CAREFREE usages for both users and developers. It also provides a c

381 Dec 22, 2022
Official Repository for the paper "Improving Baselines in the Wild".

iWildCam and FMoW baselines (WILDS) This repository was originally forked from the official repository of WILDS datasets (commit 7e103ed) For general

Kazuki Irie 3 Nov 24, 2022
VSR-Transformer - This paper proposes a new Transformer for video super-resolution (called VSR-Transformer).

VSR-Transformer By Jiezhang Cao, Yawei Li, Kai Zhang, Luc Van Gool This paper proposes a new Transformer for video super-resolution (called VSR-Transf

Jiezhang Cao 225 Nov 13, 2022
Linescanning - Package for (pre)processing of anatomical and (linescanning) fMRI data

line scanning repository This repository contains all of the tools used during the acquisition and postprocessing of line scanning data at the Spinoza

Jurjen Heij 4 Sep 14, 2022
face property detection pytorch

This is the face property train code of project face-detection-project

i am x 2 Oct 18, 2021
Python scripts for performing stereo depth estimation using the MobileStereoNet model in Tensorflow Lite.

TFLite-MobileStereoNet Python scripts for performing stereo depth estimation using the MobileStereoNet model in Tensorflow Lite. Stereo depth estimati

Ibai Gorordo 4 Feb 14, 2022
RetinaFace: Deep Face Detection Library in TensorFlow for Python

RetinaFace is a deep learning based cutting-edge facial detector for Python coming with facial landmarks.

Sefik Ilkin Serengil 512 Dec 29, 2022
This is an official implementation for "Self-Supervised Learning with Swin Transformers".

Self-Supervised Learning with Vision Transformers By Zhenda Xie*, Yutong Lin*, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao and Han Hu This repo is the

Swin Transformer 529 Jan 02, 2023
MVSDF - Learning Signed Distance Field for Multi-view Surface Reconstruction

MVSDF - Learning Signed Distance Field for Multi-view Surface Reconstruction This is the official implementation for the ICCV 2021 paper Learning Sign

110 Dec 20, 2022
Official implementation for the paper "SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization".

SAPE Project page Paper Official implementation for the paper "SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization". Environment Cre

36 Dec 09, 2022
A study project using the AA-RMVSNet to reconstruct buildings from multiple images

3d-building-reconstruction This is part of a study project using the AA-RMVSNet to reconstruct buildings from multiple images. Introduction It is exci

17 Oct 17, 2022
PuppetGAN - Cross-Domain Feature Disentanglement and Manipulation just got way better! 🚀

Better Cross-Domain Feature Disentanglement and Manipulation with Improved PuppetGAN Quite cool... Right? Introduction This repo contains a TensorFlow

Giorgos Karantonis 5 Aug 25, 2022
RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.

ML-and-DataScience-preparation This repository has the goal to create a learning and preparation roadMap for Machine Learning Engineers and Data Scien

33 Dec 29, 2022
Beancount-mercury - Beancount importer for Mercury Startup Checking

beancount-mercury beancount-mercury provides an Importer for converting CSV expo

Michael Lynch 4 Oct 31, 2022
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

IsoTree Fast and multi-threaded implementation of Extended Isolation Forest, Fair-Cut Forest, SCiForest (a.k.a. Split-Criterion iForest), and regular

141 Dec 29, 2022
Trained on Simulated Data, Tested in the Real World

Trained on Simulated Data, Tested in the Real World

livox 43 Nov 18, 2022
An Open Source Machine Learning Framework for Everyone

Documentation TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, a

170.1k Jan 04, 2023
Pneumonia Detection using machine learning - with PyTorch

Pneumonia Detection Pneumonia Detection using machine learning. Training was done in colab: DEMO: Result (Confusion Matrix): Data I uploaded my datase

Wilhelm Berghammer 12 Jul 07, 2022