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)
Learning multiple gaits of quadruped robot using hierarchical reinforcement learning

Learning multiple gaits of quadruped robot using hierarchical reinforcement learning We propose a method to learn multiple gaits of quadruped robot us

Yunho Kim 17 Dec 11, 2022
PyTorch version implementation of DORN

DORN_PyTorch This is a PyTorch version implementation of DORN Reference H. Fu, M. Gong, C. Wang, K. Batmanghelich and D. Tao: Deep Ordinal Regression

Zilin.Zhang 3 Apr 27, 2022
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

SimMIM By Zhenda Xie*, Zheng Zhang*, Yue Cao*, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai and Han Hu*. This repo is the official implementation of

Microsoft 674 Dec 26, 2022
Deploy optimized transformer based models on Nvidia Triton server

🤗 Hugging Face Transformer submillisecond inference 🤯 and deployment on Nvidia Triton server Yes, you can perfom inference with transformer based mo

Lefebvre Sarrut Services 1.2k Jan 05, 2023
This repo provides a demo for the CVPR 2021 paper "A Fourier-based Framework for Domain Generalization" on the PACS dataset.

FACT This repo provides a demo for the CVPR 2021 paper "A Fourier-based Framework for Domain Generalization" on the PACS dataset. To cite, please use:

105 Dec 17, 2022
An educational AI robot based on NVIDIA Jetson Nano.

JetBot Looking for a quick way to get started with JetBot? Many third party kits are now available! JetBot is an open-source robot based on NVIDIA Jet

NVIDIA AI IOT 2.6k Dec 29, 2022
[ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

Amplitude-Phase Recombination (ICCV'21) Official PyTorch implementation of "Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neur

Guangyao Chen 53 Oct 05, 2022
Official PyTorch implementation of paper: Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation (ICCV 2021 Oral Presentation)

SML (ICCV 2021, Oral) : Official Pytorch Implementation This repository provides the official PyTorch implementation of the following paper: Standardi

SangHun 61 Dec 27, 2022
Official code release for: EditGAN: High-Precision Semantic Image Editing

Official code release for: EditGAN: High-Precision Semantic Image Editing

565 Jan 05, 2023
Repository for benchmarking graph neural networks

Benchmarking Graph Neural Networks Updates Nov 2, 2020 Project based on DGL 0.4.2. See the relevant dependencies defined in the environment yml files

NTU Graph Deep Learning Lab 2k Jan 03, 2023
Neural-net-from-scratch - A simple Neural Network from scratch in Python using the Pymathrix library

A Simple Neural Network from scratch A Simple Neural Network from scratch in Pyt

Youssef Chafiqui 2 Jan 07, 2022
Code repository accompanying the paper "On Adversarial Robustness: A Neural Architecture Search perspective"

On Adversarial Robustness: A Neural Architecture Search perspective Preparation: Clone the repository: https://github.com/tdchaitanya/nas-robustness.g

Chaitanya Devaguptapu 4 Nov 10, 2022
NeuralForecast is a Python library for time series forecasting with deep learning models

NeuralForecast is a Python library for time series forecasting with deep learning models. It includes benchmark datasets, data-loading utilities, evaluation functions, statistical tests, univariate m

Nixtla 1.1k Jan 03, 2023
《Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis》(2021)

Image2Reverb Image2Reverb is an end-to-end neural network that generates plausible audio impulse responses from single images of acoustic environments

Nikhil Singh 48 Nov 27, 2022
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

AliceMind AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab This repository provides pre-trained encode

Alibaba 1.4k Jan 01, 2023
Pre-trained BERT Models for Ancient and Medieval Greek, and associated code for LaTeCH 2021 paper titled - "A Pilot Study for BERT Language Modelling and Morphological Analysis for Ancient and Medieval Greek"

Ancient Greek BERT The first and only available Ancient Greek sub-word BERT model! State-of-the-art post fine-tuning on Part-of-Speech Tagging and Mor

Pranaydeep Singh 22 Dec 08, 2022
Objax Apache-2Objax (🥉19 · ⭐ 580) - Objax is a machine learning framework that provides an Object.. Apache-2 jax

Objax Tutorials | Install | Documentation | Philosophy This is not an officially supported Google product. Objax is an open source machine learning fr

Google 729 Jan 02, 2023
[NeurIPS 2021] "Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems"

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems Introduction Multi-agent control i

VITA 6 May 05, 2022
Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

Transformer in Transformer Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image c

Phil Wang 272 Dec 23, 2022
SimBERT升级版(SimBERTv2)!

RoFormer-Sim RoFormer-Sim,又称SimBERTv2,是我们之前发布的SimBERT模型的升级版。 介绍 https://kexue.fm/archives/8454 训练 tensorflow 1.14 + keras 2.3.1 + bert4keras 0.10.6 下载

318 Dec 31, 2022