(Including but not limited to the following topics)
Track 1: Embodied Intelligence
Architecture design of basic robot large models
World model for embodied intelligent agents
Scale laws and emergent capabilities in embodied systems
Efficient and low-latency inference for real-world deployment
Theoretical basis of embodied intelligence
Multi-agent collaborative systems Human-computer interaction
Robot System Integration and Deployment
Edge Computing, End-Centralized Collaboration and Communication Technologies
Applications of Embodied Artificial Intelligence in Manufacturing, Logistics, Agriculture, etc.
Reinforcement Learning and Imitation Learning Based on Multimodal Data
Zero-Shot, Small-Sample, and Long-Tail Learning of Embodied Agents
Continuous/Lifelong Learning in Dynamic Environments
CoT Reasoning Based on Large Language Models
Track 2: Multimodal Perception
Multimodal Perception and Fusion
3D Scene Understanding and Semantic Mapping
Feasibility Assessment and Functional Object Recognition
First-Person Vision and Embodied Visual Language Models
Multimodal Sensor Data Fusion
Localization, Navigation and Control
Track 3: Bionic Robots
Control Bodies and Robots
Mechanical Engineering
Robot Modeling and Recognition
Multi-Robot Cooperative Control
Robot Grasping and Manipulation
Fine Grasping and Intelligent Manipulation
Robot Behavior Decision-Making and Control
Robot Motion and Path Planning
Robot Perception and Data Fusion
Robot Kinematics and Dynamics
Innovative Design and Application of Robot Systems
Natural Interaction and Interaction between Humans, Machines and the Environment
Mobile Sensor Networks
Mechanical Design and Applications ......