ROS-based architecture for robotic automatic mapping and intelligent obstacle avoidance using lidar and cameras

Yisong Zhao; Hanlin Liu

doi:10.1117/12.2655237

7 October 2022 ROS-based architecture for robotic automatic mapping and intelligent obstacle avoidance using lidar and cameras

Yisong Zhao, Hanlin Liu

Author Affiliations +

Proceedings Volume 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022); 1234411 (2022) https://doi.org/10.1117/12.2655237
Event: International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 2022, Zhuhai, China

Abstract

With the rapid development of robotics, intelligent obstacle avoidance robots are receiving more and more attention. They are heavily used in all aspects of production and development. The framework we chose to develop this time is based on an open-source platform called Robot Operating System (ROS), which acts as a digital twin in a modular configuration. There are now a large number of robots that choose to complete their architecture under the Robot Operating System (ROS), such as disaster relief robots, somatosensory robots, delivery robots, and more. In this article, we will introduce the ROS architecture of our project. This architecture enables robots to map and navigate autonomously in different environments with different sensors. This article will analyze the architecture we have made and explain the choice to make such an architecture. At the same time, we will also analyze our performance and point out which parts can be improved.

Citation Download Citation

Yisong Zhao and Hanlin Liu "ROS-based architecture for robotic automatic mapping and intelligent obstacle avoidance using lidar and cameras", Proc. SPIE 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 1234411 (7 October 2022); https://doi.org/10.1117/12.2655237

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