On sensor modeling in Gazebo simulator

Abstract

Sensor modeling in the Gazebo simulator is fundamental to robotics advancement. This review explores sensor modeling intricacies, methodologies, and applications, while emphasizing a critical role of a precise sensor modeling. Application scenarios demonstrate a sensor modeling's broad utility across fields including medical diagnostics, autonomous navigation, and industrial automation. Differences in research focus, methodology, and implementation underline a varied nature of sensor modeling studies. Key challenges include a need for more detailed world models. The paper guides a research in sensor modeling and identifies crucial questions.