(The following topics include but are not limited to)
Track 1: Intelligent Systems and Artificial Intelligence
Applications of Artificial Intelligence and Machine Learning
Applications of Deep Learning and Neural Networks
Reinforcement Learning and Autonomous Decision-Making
Large Language Models and Generative AI
Multimodal Learning and Cross-modal Intelligence
Knowledge Graphs and Semantic Computing
Intelligent Sensing and Multi-sensor Fusion
Embodied Intelligence and the Perception-Decision-Control Loop
Digital Twinning and Intelligent Simulation
Edge Intelligence and Embedded AI
Federated Learning and Privacy-Preserving Intelligent Computing
Interpretable AI and Trustworthy AI
Intelligent Decision Support Systems and Business Intelligence
Intelligent System Architecture and Integration
Track 2: Robotics and Robotics Technology
Robot Mechanism and System Design
Robot Kinematics, Dynamics and Control
Robot Motion Planning and Trajectory Optimization
Robot Perception and Multi-sensor Fusion
Machine Vision and Target Recognition and Grasping
Robot Learning and Reinforcement Learning Control
Multi-robot Collaboration and Swarm Intelligence
Bionic Robots and Soft Robotics Systems
Industrial Robots and Collaborative Robot Technology
Service Robots, Medical and Rehabilitation Robots
Specialty Robots and Operations in Extreme Environments
Robot Operating System (ROS) and Software Architecture
Robot Digital Twinning and Simulation Verification Platform
Robot Fault Diagnosis and Health Management (PHM)
Human-Computer Interaction, Brain-Computer Interfaces and Intelligent Collaboration
Robot Grasping, Operation and Precision Assembly Technology
Unmanned Aerial Vehicles and Aerial Robot Technology
Track 3: Autonomous Control and Autonomous Systems
Autonomous System Architecture and Integration
Autonomous Navigation and Path Planning
Simultaneous Localization and Mapping (SLAM)
Multi-sensor Fusion and Environmental Perception
Autonomous Obstacle Avoidance and Dynamic Path Re-planning
Autonomous Decision-making and Task Planning
Application of Reinforcement Learning in Autonomous Systems
Cooperative Control and Decision-making of Multi-agent Systems
Embodied Intelligence and Perception-Decision-Control Loop
Large Language Models and VLA Models Enabling Autonomous Systems
Autonomous System Fault Diagnosis and Fault Tolerant Control
Autonomous System Simulation and Digital Twinning
Autonomous System Human-Computer Interaction and Shared Control
...