The rapid advancements in natural language processing and large language models (LLMs) within the past few years have sparked a growing interest in the integration of language into robot learning. This has resulted in a growing body of research at the intersection of NLP, computer vision, and robotics, covering a wide range of topics, such as human-robot communication, language-driven representation learning, specification of rewards, tasks, and constraints, as well as the utilization of large pretrained language models for control. The first two editions of this workshop featured over 200 participants engaging with 20 speakers and panelists, over 50 presentations, and 3 panel discussions.

In last year's LangRob Workshop at CoRL 2023, speakers and participants all agreed that LLMs and VLMs were enabling immense progress in robotics -- trends which have only accelerated in 2024. Building on top of these ideas, the third edition of this workshop aims to focus on how language can act as a powerful interface for task specification, for rich reward supervision, for bridging embodiments and modalities, for multiagent systems, and for transferring internet-scale semantics to robotics.