2026 International Conference on Machine Learning and Unmanned Systems
The 2026 International Conference on Machine Learning and Unmanned Systems (MLUS 2026) will be held from May 29 to 31, 2026, in Nanjing, China. The conference is supported by Jiangsu Second Normal University.
With ongoing theoretical breakthroughs in artificial intelligence and its deep integration into physical systems, interdisciplinary research in machine learning and unmanned systems has become a core driver of intelligent transformation across industries, finding significant applications in smart manufacturing, intelligent transportation, environmental monitoring, and social services. To promote global innovation and academic exchange in this cutting-edge field, the 2026 International Conference on Machine Learning and Unmanned Systems (MLUS 2026) will be held in Nanjing, China, from May 29 to 31, 2026.
The conference spans multiple research domains, including machine learning, autonomous detection systems, machine vision, communications and signal processing, intelligent control and autonomous systems, systems integration, and emerging interdisciplinary topics. It features six major tracks, encompassing key areas such as deep learning architectures, reinforcement learning and decision-making, object detection and tracking, image and video processing, human-machine collaborative control, intelligent transportation and logistics, and novel sensors and materials. The conference aims to provide a premier interdisciplinary platform for scholars, leading researchers, and industry experts worldwide to explore the latest theoretical breakthroughs, technical challenges, and future trends, fostering meaningful international and interdisciplinary collaboration.
Publication
After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, 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.
Conference Tracks
| Track 1: Machine Learning Theory and Methods |
Track 2: Unmanned Detection and Machine Vision |
| Track 3: Communication and Signal Processing |
Track 4: Control and Autonomous Systems |
| Track 5: Applications and System Integration |
Track 6: Frontiers and Interdisciplinary Exploration |
| More |