Implementation and Validation of the CautiousBug Algorithm in ROS Noetic

In this paper, we present an implementation of the CautiousBug algorithm within the Noetic distribution of the Robot Operating System (ROS). Bug algorithms address a challenge of robot navigation in unknown environments without relying on pre-existing maps or constructing new ones. These algorithms utilize odometry data, operate without a map, require minimal computational resources, and can be implemented on relatively simple hardware. A C++ software application was created to simulate a behavior of the CautiousBug algorithm in various environments within the Gazebo simulator. This application allows for an analysis of key metrics, including accumulated yaw, distance traversed and algorithm's runtime. We conducted a set of virtual experiments in the Gazebo to evaluate the CautiousBug performance.

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Publication Details

Published
2024-10-01
DOI
https://doi.org/10.1109/icct62929.2024.10874959
Citations
1
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.33

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article

Implementation and Validation of the CautiousBug Algorithm in ROS Noetic

Evgeni Magid, Tatyana Tsoy, Alexander Eryomin, Roman Mishenin
1 citations
Robotics and Automated Systems
0.33
article

Implementation and Validation of the CautiousBug Algorithm in ROS Noetic

Evgeni Magid, Tatyana Tsoy, Alexander Eryomin, Roman Mishenin
article en
1 citations

Abstract

In this paper, we present an implementation of the CautiousBug algorithm within the Noetic distribution of the Robot Operating System (ROS). Bug algorithms address a challenge of robot navigation in unknown environments without relying on pre-existing maps or constructing new ones. These algorithms utilize odometry data, operate without a map, require minimal computational resources, and can be implemented on relatively simple hardware. A C++ software application was created to simulate a behavior of the CautiousBug algorithm in various environments within the Gazebo simulator. This application allows for an analysis of key metrics, including accumulated yaw, distance traversed and algorithm's runtime. We conducted a set of virtual experiments in the Gazebo to evaluate the CautiousBug performance.

Moscow State Institute of Electronics and Mathematics (RU), National Research University Higher School of Economics (RU), Kazan Federal University (RU)
Kazan Federal University
Openalex Percentile: Top 36%
Robotics and Automated Systems
0.33
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Implementation and Validation of the CautiousBug Algorithm in ROS Noetic — Evgeni Magid, Tatyana Tsoy, et al. · (2024) | TGRS Research Map | TGRS