CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2

This paper introduces CRAZYCHOIR,, a modular Python framework based on the Robot Operating System (ROS) 2. The toolbox provides a comprehensive set of functionalities to simulate and run experiments on teams of cooperating Crazyflie nano-quadrotors. Specifically, it allows users to perform realistic...

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Vydáno v:IEEE robotics and automation letters Ročník 8; číslo 8; s. 1 - 8
Hlavní autoři: Pichierri, Lorenzo, Testa, Andrea, Notarstefano, Giuseppe
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.08.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Cooperating Robots
Decision making
Distributed Robot Systems
Modular structures
Optimization
Optimization and Optimal Control
Planning
Quadrotors
Radio communications
Robots
Rotary wing aircraft
Simulation
Simulators
Software Architecture for Robotics and Automation
Task analysis
Trajectory
Vehicle routing
ISSN:2377-3766, 2377-3766
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Shrnutí:This paper introduces CRAZYCHOIR,, a modular Python framework based on the Robot Operating System (ROS) 2. The toolbox provides a comprehensive set of functionalities to simulate and run experiments on teams of cooperating Crazyflie nano-quadrotors. Specifically, it allows users to perform realistic simulations over robotic simulators as, e.g., Webots and includes bindings of the firmware control and planning functions. The toolbox also provides libraries to perform radio communication with Crazyflie directly inside ROS 2 scripts. The package can be thus used to design, implement and test planning strategies and control schemes for a Crazyflie nano-quadrotor. Moreover, the modular structure of CRAZYCHOIR allows users to easily implement online distributed optimization and control schemes over multiple quadrotors. The CRAZYCHOIR package is validated via simulations and experiments on a swarm of Crazyflies for formation control, pickup-and-delivery vehicle routing and trajectory tracking tasks. CRAZYCHOIR is available at https://github.com/OPT4SMART/crazychoir .
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ISSN:2377-3766
2377-3766
DOI:10.1109/LRA.2023.3286814