Package Summary
Package Name: Connected Robotics Platform Version: 1.0.0
Maintainer: Adrian
Description:
Features:
Documentation: [Link of The Description]
GitHub Repository: The source code for the Connected Robotics Platform package can be found on GitHub at [https://github.com/5G-ERA/middleware/tree/main/docs].
Please note that this package is actively maintained and contributions from the community are welcome.
Contents
Connected Robotics Platform
The Connected Robotics Platform (CROP) is a toolbox for developing and deploying distributed robotics applications under real world (in particular, unstructured) network environments. It enables distributed robotics applications to be fully orchestrated by connected intelligence and the 5G/6G network slicing. Compared to native ROS1, ROS2/DDS solutions, the advantages of the connected are listed in table below:
CROP maximises the impact of the connected intelligence and the network slicing towards cloud robotics by extending 5G/6G open environment and standard APIs of testbeds into robotic vertical sectors seamlessly. It is implemented via innovative network applications and reference cloud native robotic design to QoE of distributed robotics for scalability, availability and feature velocity required by real-world deployments.
The toolbox is divided into three parts. 1) Network Applications for Connected Robotics provide distributed versions of standard ROS applications such as SLAM, frontier explorer and obstacle avoidance. 2) The Middleware for Connected Robotics for quality awareness network traffic and the realisation of distributed robotics in real world settings. 3) The Deployment for Connected Robotics enables the DevOp of robotics to be automated on infrastructure.
An example of a CROP application is listed in the picture below. Robot will utilise EMBB and URLLC slices under AWS and K8S infrastructure to maximise the performance. Thanks to the PaaS structure, the ROS layer and the underlying infrastructure are orchestrated autonomously. Robot developers will preserve their existing development environment, at the same time take full advantage of optimised topology, network traffic and the security.
Network Applications for Connected Robotics
Reference Network Application for Connected Robotics
Networked SLAM
Networked Teleoperation
Networked frontier explorer
Obstacle avoidance
The Middleware for Connected Robotics
https://wiki.ros.org/Middleware%20for%20Connected%20Robotics
Cloud Bridge for Connected Robotics
Task and Resource Planner for Connected Robotics
Orchestrator for Connected Robotics
Gateway for Connected Robotics
Backend for Connected Robotics
ROS twin for Connected Robotics
ROS Slicing Interface
Semantic Signal Quality Map
The Deployment for Connected Robotics
https://wiki.ros.org/Deployment%20for%20Connected%20Robotics
Infrastructure as code deployment base
Robot onboarding
Network Application onboarding
Cloud Edge onboarding
AWS deployment with Terraform
