EIML 2026: 2026 International Conference on Embodied Intelligence and Machine Learning TBD Guangzhou, China, December 11-13, 2026 |
| Conference web page | https://www.iceiml.com/ |
| Submission link | https://easychair.org/conferences/?conf=eiml2026 |
| Abstract registration deadline | December 4, 2026 |
| Submission deadline | December 4, 2026 |
2026 International Conference on Embodied Intelligence and Machine Learning (EIML 2026), held in Guangzhou, China, from December 11 to 13, 2026, focuses on the latest advances in embodied intelligence, machine learning, robotics, and intelligent systems. Organized by Guangdong University of Technology, the conference provides a platform for researchers, engineers, and industry professionals to exchange ideas on intelligent perception, autonomous systems, machine learning algorithms, intelligent control, and real-world applications. EIML 2026 aims to promote innovation and collaboration in next-generation intelligent technologies.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome.
- Full papers should describe original research, technical developments, or experimental results related to embodied intelligence, machine learning, robotics, and intelligent systems.
- Posters describe preliminary studies, emerging ideas, or ongoing projects relevant to the conference topics. Posters are suggested to include a title, abstract, introduction, methods, and conclusions.
List of Topics
- Track 01: 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 02: 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 03: 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
Publication
Accepted papers, subject to successful registration and presentation at the conference, will be included in the IEEE conference proceedings and submitted for indexing in major databases, including EI Compendex and Scopus.
Contact
All questions about submissions should be emailed to iceiml@163.com
