Call For Papers (CFP)
EIML 2026 invites original, high-quality submissions addressing advances in embodied intelligence, machine learning, and intelligent systems. The conference welcomes both theoretical research and practical applications, with an emphasis on system design, implementation, and real-world validation.
Track 1
Embodied Intelligence
- Embodied AI Systems and Architectures
- Robotics and Autonomous Systems
- Perception, Sensing, and Sensor Fusion
- Motion Planning and Intelligent Control
- Human–Robot Interaction and Collaboration
- Cognitive and Bio-inspired Robotics
- Multi-Agent and Swarm Systems
- Simulation and Digital Twin Systems
- Edge/Embedded Intelligence for Physical Systems
- Applications in Industrial and Service Robotics
Track 2
Machine Learning
- Machine Learning Algorithms and Theory
- Deep Learning Models and Optimization
- Reinforcement and Sequential Learning
- Transfer Learning and Domain Adaptation
- Explainable and Trustworthy AI
- Distributed and Federated Learning
- Computer Vision and Pattern Recognition
- Natural Language and Multimodal Learning
- Model Efficiency (Compression, Acceleration)
- Machine Learning for Real-World Engineering Systems
Track 3
Intelligent Systems and Applications
- Cyber-Physical Systems and IoT
- Intelligent Control and Automation Systems
- Edge Computing and Embedded AI
- Smart Manufacturing and Industrial AI
- Intelligent Transportation and Autonomous Systems
- Smart Healthcare and Engineering Applications