Language Grounding

Language grounding focuses on enabling machines to understand and interact with the world based on natural language instructions, bridging the gap between symbolic language and physical reality. Current research emphasizes multimodal approaches, often leveraging large language models (LLMs) combined with visual and other sensory data, and explores various model architectures including transformers and graph neural networks to improve grounding accuracy and robustness, particularly in complex or ambiguous scenarios. This field is crucial for advancing embodied AI, robotics, and human-computer interaction, with applications ranging from robot navigation and manipulation to improved accessibility for individuals with disabilities.