(Topics include but are not limited to)
Multimodal perception and fusion
3D Scene Understanding and Semantic Mapping
Functional availability prediction and functional object recognition
First perspective vision and embodied visual language model
Multi modal sensor data fusion
Positioning, Navigation, and Control
Basic Model Architecture Design for Robots
World model of embodied intelligent agents
The scaling law and emergence capability in embodied systems
Efficient and Low Latency Reasoning for Real World Deployment
Theoretical basis of embodied intelligence
Reinforcement learning and imitation learning based on multimodal data
Zero sample/few sample and long tail learning of embodied agents
Continuous/lifelong learning in dynamic environments
Embodied Thinking Chain (CoT) Reasoning Based on Large Language Model
Large scale embodied data collection and organization
Image and video synthesis and generation
Benchmarks and measurement indicators for embodied intelligence evaluation
Data collection and annotation framework for human-machine loop
Standardization of embodied artificial intelligence evaluation protocols