Recent advances in language modeling and generative modeling has led to a growing interest in the role of language in robot learning. A diverse range of recent works have begun making progress in this intersection, exploring areas such as human-robot communication, language for representation learning, task and reward specification, and leveraging large pre-trained language models for control. The goal of this workshop is to explore the forefront of research at the intersection of robotics and language, fostering discussion between the robot learning and NLP communities, and providing a platform for presenting ideas for future collaborations and contributions.