(Including but not limited to the following topics)
Track 1: Neural Networks
New neural network architecture design
Research on the interpretability of deep learning theory
Neural morphological computing and hardware implementation
Small sample learning and meta-learning algorithms
Reinforcement learning and multi-agent systems
Graph neural networks and knowledge reasoning
Generative models and data augmentation techniques
Neural network compression and acceleration techniques
Cross-modal learning and fusion representation
Online learning and continuous adaptation mechanisms
Neural network security and adversarial defense
Brain-inspired computing and cognitive models
Track 2: Robot Perception
Multi-sensor fusion and calibration methods
Visual SLAM and scene understanding
3D vision and point cloud processing
Tactile perception and force control
Dynamic environment perception and prediction
Cross-modal perception and semantic understanding
Event cameras and new visual sensors
Auditory perception and sound source localization
Sensor fault diagnosis and fault tolerance
Extreme environment perception technology
Bionic perception mechanisms and applications
Perception-decision closed-loop optimization
Track 3: Autonomous Systems
Autonomous decision-making and planning algorithms
Multi-robot collaborative control
Human-machine collaboration and shared control
Security of autonomous systems
Real-time control and optimization algorithms
Robust control under uncertainty
Learning-based control strategies
Distributed autonomous system architecture
Testing and verification of autonomous systems
Energy management and autonomous endurance
System reliability design and analysis
Ethics and standards of autonomous systems
Intelligent manufacturing and industrial robots
Agricultural automation and precise operations
Autonomous driving and intelligent transportation
Infrastructure for intelligent cities
Robot operating systems and middleware