(Including but not limited to the following topics)
Track 1: Robot Perception
Visual perception and target recognition
Application of deep learning in robot perception
Multimodal sensor fusion technology
Speech recognition and sentiment analysis
Environmental perception and scene understanding
Human-computer interaction and emotion recognition
Perception-driven robot navigation
Autonomous modeling and object localization
Tactile perception and force control technology
Environment mapping and virtual reality
Image processing and feature extraction technology
Research and application of perception technology in marine exploration robots
Application of intelligent perception technology in the medical field
Application of perception technology in intelligent transportation systems
Track 2: Pattern Recognition
Artificial intelligence techniques in pattern recognition
Biometric recognition (including face recognition)
Computer vision
Data mining and big data
File processing and recognition
Advanced learning methods
Linear models and dimensionality reduction
Machine learning methods
Model representation and selection
Fuzzy and hybrid techniques in PR
Image processing and analysis
Mathematical theory of pattern recognition
Natural language processing and recognition
Object detection, tracking and recognition
Principles of pattern recognition Robot
Remote sensing
Shape and texture analysis
Statistical pattern recognition
Syntactic and structural pattern recognition
Speech and speech recognition