Figure4

Figure 4. Examples of embodied learning and reasoning. (A) Example of navigation and detect the object based on LLM model in unknown environments ^[105]; (B) The iSEE framework that can learn the environmental information when the robot travels in the environment ^[106]; (C) Example of reasoning and producing navigation decisions based on prior knowledge from the knowledge graph and the pre-trained model ^[107]. LLM: Large language model; iSEE: interpretability system for embodied agents.