Editorial Language and Vision in Robotics: Emerging Neural and On-Device Approaches

Endowing machines with the ability to represent and understand the physical world in which they live is a longstanding challenge in the AI research community. The last years have seen significant advancements in the fields of Natural Language Processing (NLP) and Computer Vision (CV) and the development of robotic hardware and accompanying algorithms.

This Research Topic aims to provide an overview of the research being carried out in both the areas of NLP and CV to allow robots to learn and improve their capabilities for exploring, modeling, and learning about the physical world. As this integration requires an interdisciplinary attitude, the Research Topic aims to gather researchers with broad expertise in various fields—machine learning, computer vision, natural language, neuroscience, and psychology—to discuss their cutting edge work as well as perspectives on future directions in this exciting space of language, vision and interactions in robots.