2027 2nd International Conference on Machine Learning and Unmanned Systems(MLUS 2027)

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About MLUS 2027

With rapid advances in artificial intelligence and its deepening integration with physical systems, interdisciplinary research at the intersection of machine learning and unmanned systems has emerged as a core driver of intelligent transformation. This convergence is finding growing applications in intelligent manufacturing, smart transportation, environmental exploration, social services, and beyond.To foster global collaboration and academic exchange in this rapidly evolving field, the 2nd International Conference on Machine Learning and Unmanned Systems (MLUS 2027) will take place in Hangzhou, China, on May 28–30, 2027.

The conference spans multiple research areas, including machine learning, perception and sensing for unmanned systems, communication and networking, control and autonomy, system integration, and emerging interdisciplinary fields. It features six main technical tracks covering key topics such as deep learning models, reinforcement learning and decision-making, object detection and tracking, image and video signal processing, human–machine collaborative control, intelligent transportation and logistics, and novel sensors and materials.The conference aims to provide a premier, interdisciplinary forum for global scholars, leading researchers, and industry practitioners to discuss the latest theoretical advances, technical challenges, and future trends in the field, and to foster meaningful international and cross-disciplinary collaboration.

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Conference Info.

🗓︎Important Dates

Full Paper Submission Date: March 13, 2027

Notification of Acceptance Date: April 13, 2027

Final Paper Submission Date: April. 28, 2027

Conference Dates: May 28-30, 2027

🗺︎Venue

Hangzhou, China

Call For Papers

📚︎Track 1: Machine Learning Theory & Algorithms

Supervised and unsupervised learning; Deep learning architectures; Reinforcement learning; Transfer learning and domain adaptation; More...

📚︎Track 2: Perception & Sensing for Unmanned Systems

Image recognition and classification; Object detection and tracking; Scene understanding and semantic segmentation; 3D vision and reconstruction; LiDAR and depth sensing; More...

📚︎Track 3: Communication & Networking

UAV and ad-hoc communication networks; Signal processing and optimization; Image and video transmission; Multi-channel data fusion; Cooperative communication protocols; More...

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Publication

All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or 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 academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

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