Paper
6 May 2024 Artificial intelligence scheduling and task planning for collaborative operations of remote-controlled submarines and manned submarines
Jiaying Geng, Ning Wang
Author Affiliations +
Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 1310743 (2024) https://doi.org/10.1117/12.3029209
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China
Abstract
By constructing a coordinated operation system combined with artificial intelligence scheduling algorithms, the application practice and collaborative operation of manned and remote-controlled submersibles are achieved. This article summarizes the key technologies of collaborative operation between remote-controlled submersibles and manned submersibles. It includes data fusion and intelligent scheduling algorithms for collaborative work platforms, as well as task planning and path optimization methods. The research on artificial intelligence scheduling and task planning in this article provides technical support for more collaborative operations of remote-controlled and manned submersibles. The experimental results show that the task scheduling algorithm based on artificial intelligence scheduling can quickly complete the allocation of detection tasks under preset conditions. Based on each task point, the optimal route allocation in unit space can be obtained, which fully verifies the effectiveness and robustness of the artificial intelligence scheduling scheme. This provides technical reference and planning ideas for future self-developed remote controlled submersible and manned submersible collaborative operation systems.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jiaying Geng and Ning Wang "Artificial intelligence scheduling and task planning for collaborative operations of remote-controlled submarines and manned submarines", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 1310743 (6 May 2024); https://doi.org/10.1117/12.3029209
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Space operations

Artificial intelligence

Evolutionary algorithms

Telecommunications

Data acquisition

Signal processing

Acoustics

RELATED CONTENT


Back to Top