About ChoirBot

ChoiRbot is a ROS 2 package developed by Andrea Testa, Andrea Camisa, and Giuseppe Notarsefano within the ERC excellence research project OPT4SMART. The aim of ChoiRbot is to provide a comprehensive framework to easily simulate and run experiments on teams of cooperating robots, with a particular focus on peer-to-peer networks of robotic agents without a central coordinator.

 

With ChoiRbot you can develop a full-stack multi-robot application. Specifically, the package allows you to

  • Encode distributed optimization and control algorithms
  • Perform peer-to-peer communications among robots
  • Develop planning and control schemes
  • Connect with external motion capture hardware (see also our ROS 2 Vicon Bridge)
  • Run experiments on your robotic fleet
  • Perform realistic simulations with Gazebo and visualize data with RVIZ

ChoiRbot is structured in a three-layer architecture. Specifically, there is a Team Guidance layer, a RoboPlanning layer, and a RoboControl layer. The Team Guidance layer is responsible for taking high-level decisions and for managing the robot lifecycle. The Team Guidance layer uses communication with neighbors in order to perform its tasks. The RoboPlanning and RoboControl layers are responsible for lower-level control actions as driven by the upper layer. In case the user does not want to use external tools, we also provide a dynamics integration layer, named RoboIntegration, which can e.g. be used in conjunction with Rviz for visualization. To guarantee flexibility and code reusability, layers are implemented as Python classes. For each layer, ChoiRbot provides boilerplate code that you can easily extend according to your need.

Useful links

ChoiRbot is available for free on the Github page
https://github.com/OPT4SMART/ChoiRbot

You can find the package documentation on the github.io page
https://opt4smart.github.io/ChoiRbot/

Here we provide also provide installation tutorials using both your native Ubuntu or Docker virtualization. Here you can also find news and multimedia material. 

You can find a copy of the accompanying RA-L paper here
https://ieeexplore.ieee.org/abstract/document/9361200

An ArXiv version is available here

https://arxiv.org/pdf/2010.13431.pdf