Conferences
27–29 June 2025, Shanghai, China
2025 2nd International Conference on Computer Vision, Robotics, and Automation Engineering (CRAE 2025)
The 2025 2nd International Conference on Computer Vision, Robotics, and Automation Engineering (CRAE 2025) will be held from June 27 to 29 in Shanghai, China. The conference is organized by the AEIC Academic Exchange Center of Shanghai Jiao Tong University.
CRAE 2025 is dedicated to creating a platform for academic communication among specialists and scholars in the fields of computer vision, robotics, and automation engineering. The conference will address the key challenges and emerging research directions in these areas, aiming to promote the development and application of related theories and technologies in both industry and academia. It will provide a favorable forum for innovative scholars, engineers, and industry experts to exchange new ideas and present their research findings.
Submitted papers should be related to one or more of the main conference topics listed below. All accepted papers will be published in the proceedings by SPIE and submitted for EI and Scopus indexing.
Track 1:
Genetic Algorithm;
Fuzzy Control;
Decision Support Systems;
Machine Learning in Control Applications;
Knowledge-based System Applications;
Hybrid Learning Systems;
Distributed Control Systems;
Evolutionary Computation and Control;
Optimization Algorithms;
Intelligent Algorithms and Systems;
Soft Computing;
Software Agents for Intelligent Control Systems;
Neural Network-based Control Systems;
Planning and Scheduling.
Track 2:
Image Processing;
Vision, Recognition, and Reconstruction;
Robot Design, Development, and Control;
Control and Monitoring Systems;
Telerobotics and Teleoperation;
Humanoid Robotics Intelligence;
Object Recognition and Tracking;
Sensor Fusion;
Industrial Networks and Automation;
Assistive Robotics;
Autonomous Robotics;
Bionic Robotics;
Biomechanics;
Biomedical Robotics;
Biomimetic Robotics;
Distributed Sensing;
Haptic Feedback;
Multi-Agent Systems;
Multimedia Robotics.
Track 3:
Active and Robotic Vision;
Biometric Authentication;
Camera Networks and Vision;
Cognitive and Bio-inspired Vision;
Fuzzy and Neural Techniques in Vision;
Face and Gesture Recognition;
Image Feature Extraction;
Novel Vision Applications and Case Studies;
Machine Learning Techniques for Vision;
Object Recognition;
Sensors and Early Vision.
