2026 International Conference on Machine Learning and Unmanned Systems
Countdown to the Conference:
With continuous breakthroughs in artificial intelligence and its deep integration into physical systems, interdisciplinary research in machine learning and unmanned systems has become a key driving force in the intelligent era, demonstrating immense potential in fields such as smart manufacturing, intelligent transportation, environmental exploration, and social services.To foster global innovation and collaboration in this cutting-edge field, The 2026 International Conference on Machine Learning and Unmanned Systems (MLUS 2026) will be held from May 29 to 31, 2026, in Nanjing, China.
This conference aims to create a high-level, open platform for interaction among top scholars, researchers, and industry experts worldwide. It will focus on the core scientific challenges in unmanned systems, explore the latest theoretical advances, technical obstacles, and future trends, and promote substantial cross-border and interdisciplinary collaboration.

Conference Dates
May 29-31, 2026
Venue
Nanjing, China
Full Paper Submission Deadline
March 14, 2026
Notification Of Acceptance
April 14, 2026
Registration Deadline
April 28, 2026

All papers submitted to MLUS 2026 will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in SPIE - The International Society for Optical Engineering, and submitted to EI Compendex, Scopus for indexing.
Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

| ||
| Jiangsu Second Normal University |

Conference Secretary
Hanna
( Conference Secretary)


TEL 2: 86+13902493194
E-Mail: ic_mlus@yeah.net
If you have any questions or comments,
Please feel free to contact us.



