A Multi-source Localization System for Driverless Material Transport in Mixed Indoor and Outdoor Areas

Herbert, Manfred; Zwingel, Maximilian; Czapka, C.; Franke, Jörg

doi:10.1007/978-3-030-78424-9_47

Cited by 1 publication

(2 citation statements)

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“…Thus, we chose a mobile robot to compare Gazebo with NIS. As real-worldreference, we use an autonomous tow-truck, which is described in [18]. The robot and its testing environment have been recreated in both simulators.…”

Section: Mobile Robotics As Use-casementioning

confidence: 99%

“…Noise is added to the laser scanner readings natively in Gazebo and using a self-written script with comparable functionality in NIS. The odometry-data of the real system is generated using the sensor data fusion approach described in [18]. For the simulated systems, no modification of odometry data is possible.…”

Section: Comparison Of Simulation and A Real System / Sim To Realmentioning

confidence: 99%

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Robotics simulation – A comparison of two state-of-the-art solutions

Zwingel¹,

May²,

Kalenberg³

et al. 2022

ASIM SST 2022 Proceedings Langbeiträge

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Simulation plays a significant role in development and deployment of robotics systems. Depending on the planned tasks, different functionalities shift into focus. For mobile robotics systems using the Robot Operating System (ROS), Gazebo has been the goto solution for simulating behavior, sensors, and interaction with environments for many years. With the availability of numerous novel solutions, a comparison of the different strengths from a use-case perspective becomes necessary. In our paper, we compare Gazebo and NVIDIAs Isaac Sim in the context of ROS-based autonomous mobile robots. Special attention is given to the integration of the simulators in the ROS-environment and their ability in regards to sensor simulation. This paper aims to provide a comparison between different features in Gazebo and NVIDIA Isaac Sim for simulating mobile robots and sensor systems.

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Section: Mobile Robotics As Use-casementioning

confidence: 99%

Section: Comparison Of Simulation and A Real System / Sim To Realmentioning

confidence: 99%