Publication Type : Conference Proceedings
Publisher : IEEE
Source : 2023 8th International Conference on Robotics and Automation Engineering (ICRAE)
Url : https://doi.org/10.1109/icrae59816.2023.10458504
Campus : Bengaluru
School : School of Engineering
Year : 2023
Abstract : In this work, we developed algorithm for coordinated multi-robot system. It is developed for simultaneous localization and mapping SLAM. Many novel applications of multi-robot system especially, in the industrial indoor environment and complex/dangerous environment are being envisioned. The proposed algorithm focuses on optimizing navigation and execution of tasks within an environment. We used TurtleBot3 Waffle model and robot operating system ROS platform and simulated in Gazebo for localization, navigation and comprehensive coverage. The algorithm achieves effective mapping, localization, navigation, and coverage. Algorithm also ensures seamless coordination among multiple robots within a unified transform-tree facilitating synchronized movement and a holistic understanding of the environment. Furthermore, an innovative coverage path planning and submap division is achieved using this technique. It is expected that such development would lead to practical applications in the real environment.
Cite this Research Publication : Glace Varghese, Thambbireddygare G. C. Reddy, Anjana K Menon, Ajay Paul, Sreeja Kochuvila, Varma Divya R, Ravichandra Bhat, Navin Kumar, Multi-Robot System for Mapping and Localization, 2023 8th International Conference on Robotics and Automation Engineering ICRAE, IEEE, 2023, https://doi.org/10.1109/icrae59816.2023.10458504