●2025 5th International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2025)-- Ei Compendex & Scopus—Call for papers
July 11-13, 2025 Yinchuan, China｜Website: https://www.jcrai.org/

●JCRAI 2025 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Robotics and Artificial Intelligence can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field.

●Publication and Indexing
All submitted papers will be sent to 2-3 peer reviewers for reviewing. Accepted and presented papers will be included in JCRAI 2025 Conference Proceedings and published in digital conference proceedings, which will be submitted to major citation databases such as Ei Compendex, Scopus etc for indexing.

●Keynote Speakers
Prof. Jan Treur, Delft University of Technology, Netherlands
Prof. Guandong Xu, University of Technology Sydney, Australia

●Program Preview/ Program at a glance
July 11: Registration + Icebreaker Reception
Jluy 12: Opening Ceremony+ KN Speech+ Technical Sessions
Jluy 13: Technical Sessions+ Half day tour/Lab tours

●Paper Submission
Submit Via CMT: https://cmt3.research.microsoft.com/JCRAI2025

●CONTACT US
Ms. Riva Huang
Email: email@jcrai.org
Website: https://www.jcrai.org

●Topics of Interest
ARTIFICIAL INTELLIGENCE

Agents and Multi-Agent Systems
Expert Systems
Fuzzy Logic
Genetic Algorithms
Neural Networks
Swarm Intelligence

MACHINE VISION

Augmented Reality
Bioinformatics
Human Computer Interaction
Image/Video Processing
Pattern Recognition
Signal Processing

ROBOTICS

Assistive Robots
Autonomous Robots
Creative and Entertaining Robots
Human-Robot Interaction
Mobile Robots
Space and underwater robots

AMBIENT INTELLIGENCE

Ambient Assisted Living
Data Science
Intelligent Driving
Internet of Things
Smart Buildings and Cities
Smart Healthcare

SECURITY

Big data analytics for security
Biometrics
Computer Forensics
Intrusion Detection
Security Intelligence
Spam Detection

MACHINE LEARNING

Ant colony optimization
Bayesian networks
Decision Making
Natural language processing
Supervised/Unsupervised Learning
Support Vector Machines