Authors are encouraged to submit previously unpublished research at the intersection of Machine
Learning and Unmanned Systems.
The Program Committee will select papers based on a combination of novelty, quality, interest, and
impact.
The MLUS 2026 conference topics are the following (but are not limited to):
Machine Learning
Deep Learning
Reinforcement Learning
Neural Networks
Unsupervised Learning and Representation Learning
Intelligent Decision-Making
Feature Selection
Data Mining and Knowledge Discovery
Information Retrieval
Generative Models and Simulation Environment Construction
Embodied AI and World Models
Multi-Agent Collaboration and Distributed Learning
Edge Intelligence and Computing Power Coordination
Large-Scale Simulation and Digital Twins
Explainable AI and Machine Learning
Unmanned Systems
Unmanned Aerial Vehicles
Unmanned Ground Vehicles/ Autonomous Vehicles
Unmanned Underwater Vehicles and Systems
Robotic Systems and Design
UAS Communication and Networking Technologies
Unmanned Systems Navigation and Positioning Technologies
Intelligent Environmental Perception for Unmanned Systems
Autonomous and Cooperative Control Technologies for Unmanned Systems
Actuators and Actuation Technologies
Unmanned Mission and Behavior Planning
Multi-Agent and Cooperative Systems
Single-Agent Learning and Decision-Making
Swarm Intelligence and Cluster Robotics
Autonomous Manipulation and Grasping
Artificial Intelligence Algorithms
Brain-Computer Integration and Hybrid Intelligence Technologies
