A deep learning-based method of robot path planning

Lanxiao Li; Lang Wang; Jindong Guo

doi:10.1117/12.3008733

27 October 2023 A deep learning-based method of robot path planning

Lanxiao Li, Lang Wang, Jindong Guo

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 129222G (2023) https://doi.org/10.1117/12.3008733
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

Robots need to move and operate autonomously in a constantly changing field environment, so having the ability to sense the field becomes especially critical. In this paper, we use binocular vision technology and depth cameras for autonomous localization, combined with image semantic segmentation and target prediction to predict the location of moving objects in the field and give the state of the environment. In this way, the robot is able to achieve fully autonomous path planning and operation to meet the needs of autonomous robot operation in different scenarios.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lanxiao Li, Lang Wang, and Jindong Guo "A deep learning-based method of robot path planning", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 129222G (27 October 2023); https://doi.org/10.1117/12.3008733

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