Distributed Multi-Robot Localization and Coordination Framework for Mobile Robots

This project aims to develop an experimental framework for multiple mobile robots, both in simulation and real-world hardware, using ROS 2 as the primary operating system. Utilizing TurtleBot 3 platforms, the team will establish a robust setup that enables tasks such as distributed localization, autonomous navigation, path planning, and formation control for mobile robots. Leveraging simulation environments like Gazebo, the project will replicate real-world setups in a simulated environment for testing and development. All tasks, communication, and sensor integration will be implemented using ROS 2, ensuring seamless coordination and interoperability among the robots. The project involves integrating various sensors and conducting hands-on experiments with TurtleBot 3 robots to validate the system's performance. By bridging simulation and physical experimentation, this framework will provide a comprehensive platform for testing and validating multi-robot coordination algorithms and control strategies. The team will also research and implement various distributed localization and formation control algorithms to further enhance the mobile robots' autonomous capabilities.

Publication Details

Journal
DigitalCommons - CalPoly (California State Polytechnic University)
Published
2024-10-01
Primary Topic
Botany and Plant Ecology Studies
Type
article
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article

Distributed Multi-Robot Localization and Coordination Framework for Mobile Robots

DigitalCommons - CalPoly (California State Polytechnic University)
Botany and Plant Ecology Studies
article

Distributed Multi-Robot Localization and Coordination Framework for Mobile Robots

article en

Abstract

This project aims to develop an experimental framework for multiple mobile robots, both in simulation and real-world hardware, using ROS 2 as the primary operating system. Utilizing TurtleBot 3 platforms, the team will establish a robust setup that enables tasks such as distributed localization, autonomous navigation, path planning, and formation control for mobile robots. Leveraging simulation environments like Gazebo, the project will replicate real-world setups in a simulated environment for testing and development. All tasks, communication, and sensor integration will be implemented using ROS 2, ensuring seamless coordination and interoperability among the robots. The project involves integrating various sensors and conducting hands-on experiments with TurtleBot 3 robots to validate the system's performance. By bridging simulation and physical experimentation, this framework will provide a comprehensive platform for testing and validating multi-robot coordination algorithms and control strategies. The team will also research and implement various distributed localization and formation control algorithms to further enhance the mobile robots' autonomous capabilities.

DigitalCommons - CalPoly (California State Polytechnic University)
Openalex Percentile: Top 27%
Botany and Plant Ecology Studies
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Distributed Multi-Robot Localization and Coordination Framework for Mobile Robots · DigitalCommons - CalPoly (California State Polytechnic University) (2024) | TGRS Research Map | TGRS