(The following topics include but are not limited to)
Track 1: Robotics Technology
Robot kinematics, dynamics and control
Robot mechanism design and optimization
Industrial robots, service robots, special robots
Mobile robots, bionic robots, soft robots
Micro-nano robots, swarm robots
Robot path planning and obstacle avoidance
Robot grasping and manipulation
Robot remote operation and autonomous control
Robot simulation and programming
Human-machine interaction and collaboration
Robot operating system
Modular and reconfigurable robots
Robots in extreme environments
Unmanned aerial vehicles and airborne robots
Underwater robots
Multi-task scheduling and autonomous navigation of robots
SLAM and environment mapping
Robot system integration for embodied intelligence
Track 2: Electromechanical Intelligent Control
Design of electromechanical integrated systems
Intelligent control theory and methods
Adaptive control and robust control
Fuzzy control and neural network control
Motion control and servo systems
Precise positioning and vibration control
Embedded control systems, distributed control systems, networked control systems
Motor drive and control
Modeling and simulation of electromechanical systems
PLC and industrial control systems
State monitoring of electromechanical systems
Control methods based on data-driven approaches
Integration of artificial intelligence and control
Electric control technology for new energy vehicles
Intelligent control technology in intelligent manufacturing
Energy-saving and optimization control of electromechanical systems
Digital twin-driven intelligent control systems
Distributed collaborative control and multi-agent systems
Track 3: Intelligent Perception
Intelligent sensor technology
Multi-sensor fusion and information processing
Machine vision and image processing
Tactile and force perception
Inertial measurement and combined navigation
Laser radar and point cloud processing
Depth cameras and RGB-D perception
Environmental perception and scene understanding
Object detection and tracking
Behavior recognition and intention prediction
Learning-based perception methods
Edge perception and real-time processing
Embedded vision systems
Biologically inspired perception
Hardware acceleration of perception systems
Perception system calibration
Perception system validation and evaluation
Perception for extreme environments
Closed-loop integration of perception and control
Semantic SLAM and environmental semantic understanding
Perception and understanding based on large models
Multimodal perception in embodied intelligence
...