Large language models (LLMs) have undergone significant expansion and have been
increasingly integrated across various domains. Notably, in the realm of robot task planning …

In recent years, the integration of large language models (LLMs) has revolutionized the field
of robotics, enabling robots to communicate, understand, and reason with human-like …

The human ability to learn, generalize, and control complex manipulation tasks through multi-
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …

The fusion of large language models and robotic systems has introduced a transformative
paradigm in human–robot interaction, offering unparalleled capabilities in natural language …

Large Language Models (LLMs) present a promising frontier in robotic task planning by
leveraging extensive human knowledge. Nevertheless, the current literature often overlooks …

Large-language models (LLMs) hold significant promise in improving human-robot
interaction, offering advanced conversational skills and versatility in managing diverse, open …

Large language models (LLMs) exhibit advanced reasoning skills, enabling robots to
comprehend natural language instructions and strategically plan high-level actions through …

Programming robot behavior in a complex world faces challenges on multiple levels, from
dextrous low-level skills to high-level planning and reasoning. Recent pre-trained Large …

Recent large language models (LLMs) have demonstrated remarkable performance on a
variety of natural language processing (NLP) tasks, leading to intense excitement about their …

The integration of Multimodal Large Language Models (MLLMs) with robotic systems has
significantly enhanced the ability of robots to interpret and act upon natural language …