(The following topics include but are not limited to)
Track 1: Advanced Sensing Technologies and Multimodal Perception
Principles, Design and Manufacturing of New Sensors
Micro/Nano Sensors (MEMS/NEMS) and Intelligent Sensor Technologies
Flexible/Wearable Sensors and Electronic Skin
Vision Perception and Image Sensor Technology
Multimodal Tactile Perception including Force, Touch, Proximity, etc.
Distance Sensors and Environmental Modeling
Event Cameras, Neurosensory Vision and Dynamic Vision Perception
Multi-Sensor Information Fusion and Cooperative Perception Architecture
Sensor Calibration, Calibration and Uncertainty Analysis
Sensor Anti-interference and Robustness Design
Quantum Sensing and New Physical Sensing Technologies
Biological Signal Sensing and Neural Interface Technologies
Track 2: Autonomous Systems and Intelligent Navigation
Autonomous System Architecture, Modeling and Closed-loop Control
Autonomous Navigation and Path Planning Algorithms
Simultaneous Localization and Mapping Technology
Multi-source Fusion Localization Based on Vision/Lidar/Inertial Navigation
Brain-like Perception and Neurosensory Navigation Technologies
Autonomous Decision-making Systems: Based on Rules, Learning and Hybrid Decision-making Methods
Multi-Agent Systems Cooperative Perception and Distributed Decision-making
Adaptive Control and Motion Planning in Dynamic Environments
Autonomous Navigation of Unmanned Systems (Unmanned Aircraft, Unmanned Vehicles, Underwater Robots)
Embodied Intelligence and Perception-Decision-Control Closed-loop System
Fault Detection, Fault Tolerance and Self-healing Mechanisms of Autonomous Systems
Verification, Confirmation and Safety Assessment of Autonomous Systems
Track 3: Robot Perception and Intelligent Interaction
Robot Environmental Perception and Scene Understanding (including Semantic Mapping)
Perception Technologies in Robot Grasping, Manipulation and Object Recognition
Intention Recognition and Multimodal Perception Fusion in Human-Machine Interaction
Robot Attention Mechanism and Active Perception Strategy
Application of Tactile Feedback and Force Control in Human-Machine Collaboration
Multi-Agent Robot Cooperative Perception and Crowd Intelligence Perception
Edge Perception and Real-time Reasoning for Embodied Intelligence Systems
Enhanced Perception Based on Deep Learning and Domain Adaptation
Interpretable AI and Trustworthiness Analysis of Perception Systems
Simulation of Robot Perception Systems Driven by Digital Twin
Robot Perception Technologies for Extreme Environments (Disasters, Space, Deep Sea)
Intelligent Perception Applications in Service Robots and Industrial Robots
...