Speaker: Chenguang Huang
Robot navigation has been an actively researched challenge for decades. With different focuses, navigation goals can be defined in many different ways such as goal images, relative positions, semantic objects, and sound sources. Recently, with the advances in both computer vision and natural language processing methods, researchers propose to define the navigation goal with natural language instructions and define the task as Vision-and-Language Navigation. It is the very task that requires an agent to combine natural language instructions with visual perception data and navigate in an unseen environment. In this talk, I will give an overview of the Vision-and-Language Navigation tasks and introduce the current state of the research. In the end, I will discuss some future research directions.