Researchers have developed a new framework called FISER, which stands for "Follow Instructions with Social and Embodied Reasoning," to help AI better understand and respond to ambiguous human instructions. FISER accomplishes this by explicitly modeling human intentions through two phases: "Social Reasoning," where the AI uses context and past actions to decipher the sub-task it is being asked to perform, and "Embodied Reasoning," where it plans and executes the physical actions to complete the task. In experiments using the HandMeThat benchmark, FISER outperformed other AI models, particularly in scenarios requiring an understanding of human goals and motivations. This suggests that FISER could lead to more seamless and intuitive human-robot interactions in various applications.

Paper: https://t.co/rIUWaetfCh