(The following topics include but are not limited to)
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 Foundation of Embodied Intelligence
Multi-Agent Cooperative Systems
Human-Machine Interaction
Robot System Integration and Deployment
Edge Computing, Cloud-Edge Collaboration and Communication Technologies
Applications of Embodied Artificial Intelligence in Manufacturing, Logistics, Agriculture, etc.
Track 2: Large Models
Generative Large Models
Architecture of Visual Pre-training Models
Large Models Integrating Vision and Optical Sensing
Pre-trained Language Models
Multimodal Fusion
Large Model Training and Optimization, Large-Scale Distributed Training
Model Compression
Hardware Acceleration and Heterogeneous Computing
Interpretability and Robustness Analysis of Visual Large Models, etc.
Track 3: Intelligent Robots
Modeling and Recognition
Robot Control
Mobile Robots
Mobile Sensor Networks
Medical Robots and Bio-robots
Human-Centered Systems
Micro Robots and Micro Manipulation
Search, Rescue and Field Robots
Robot Sensing and Data Fusion
Localization, Navigation and Map Drawing
Dexterous Manipulation
Perception System
Space and Underwater Robots
Remote Robots
Visual Servoing
Mechanism Design and Application ……