Cloud Robotics

Cloud Robotics

• Dockeros

Web Application

• Gotty: web-based terminal
• Streamlit
• Robot Web Tools
• Webviz
• Gzweb
• ros-rviz
• Zethus
• Deck.gl
• Robonomics

Jupyter

• Jupyter-ROS
• jupyter-ros
• jupyterlab-ros

RoboStack

• RoboStack: Using the Robot Operating System alongside the Conda and Jupyter Data Science Ecosystems

2D Navigation

• nav2djs

Map formats

• Export map data from Google My Maps to a KML file
• ASSURE Mapping Tools
• ASSURE Mapping Tools tutorials

Microsoft

• ROS Orchestration

AWS RoboMaker

• RoboMaker Documentation
• RoboMaker Cheat Sheet
• Deep Racer
• Colcon Bundle Format
• AWS RoboMaker sample applications Gzweb
• Deploying Robotic Applications Using Machine Learning with Nvidia JetBot and AWS RoboMaker

Build and bundle ROS1 projects locally using colcon

In this example, we will build and bundle the hello world simulation workspace from AWS RoboMaker:

• Clone the repository in your local machine:

git clone https://github.com/aws-robotics/aws-robomaker-sample-application-helloworld.git

• Run ros-kinetic-colcon docker image:

docker run -it -v $(pwd):/workspace nubonetics/ros-kinetic-colcon /bin/bash

• In the docker image, go to the workspace folder:

cd aws-robomaker-sample-application-helloworld/simulation_w

• Run the following commands to update and install dependencies:

apt-get update

rosdep update

rosws update

rosdep install --from-paths src --ignore-src -r -y

• Build the workspace:

colcon build

• Bundle the workspace:

source install/local_setup.sh

colcon bundle --bundle-version 1

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