- Mainstream Methods of Multimodal Imitation Learning for Embodied Intelligent Robots
- Multimodal Output Decoding: Main Methods and Core Challenges in Large-Scale Multimodal Models
- Multimodal Reasoning: Main Classifications and Mainstream Techniques in Large-Scale Multimodal Models
- Cross-Modal Fusion: Main Classifications and Techniques in Large-Scale Multimodal Models
- Training Strategies for Large-Scale Multimodal Models in Embodied Intelligent Robots
- Methods for Obtaining Multimodal Data
- Multimodal Input Encoding