1. Perception and Pattern Recognition

Pattern Recognition Theory and Computational Methods

Computer Vision and Visual Understanding

Speech, Language and Semantic Perception

Multimodal Representation Learning and Information Fusion

Robust Perception in Complex and Dynamic Environments

Cross-Domain Perception and Generalization Methods

Embodied Perception and Active Sensing Systems

2. Learning, Reasoning and Cognitive Intelligence

Machine Learning and Intelligent Computing

Deep Learning and Foundation Models

Self-Supervised, Transfer and Continual Learning

Cognitive Computing and Intelligent Reasoning

Knowledge Representation and Neuro-Symbolic Intelligence

Causal Learning and Decision Intelligence

Embodied Learning and Adaptive Intelligence

3. Embodied Systems and Intelligent Architectures

Embodied Intelligence Theory and Computational Frameworks

Intelligent Agents and Autonomous Systems

Robotics and Intelligent Hardware Systems

Physical Intelligence and Morphological Computing

Embedded, Edge and Cyber-Physical Intelligent Systems

Adaptive System Design and Reconfigurable Architectures

Simulation-to-Real Transfer and World Models

4. Intelligent Interaction and Autonomous Behavior

Human–Machine Interaction and Collaborative Intelligence

Interactive Learning and Adaptive Behavior Generation

Perception–Action Integration and Intelligent Control

Autonomous Decision-Making and Planning

Embodied Interaction and Behavioral Intelligence

Multi-Agent Collaboration and Collective Intelligence

Autonomous Navigation and Task Execution

Applications of Embodied and Autonomous Intelligence