Recent developments in foundation models, like Large Language Models (LLMs) and Vision-
Language Models (VLMs), trained on extensive data, facilitate flexible application across …

Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …

Large-scale endeavors like and widespread community efforts such as Open-X-Embodiment
have contributed to growing the scale of robot demonstration data. However, there is still an …

Foundation models, eg, large language models (LLMs), trained on internet-scale data
possess zero-shot generalization capabilities that make them a promising technology …

Physically assistive robots present an opportunity to significantly increase the well-being
and independence of individuals with motor impairments or other forms of disability who are …

Multimodal large language models (MLLMs) have demonstrated remarkable success in
vision and visual-language tasks within the natural image domain. Owing to the significant …

Since the emergence of ChatGPT, research on large language models (LLMs) has actively
progressed across various fields. LLMs, pre-trained on vast text datasets, have exhibited …

The robotics community has consistently aimed to achieve generalizable robot manipulation
with flexible natural language instructions. One primary challenge is that obtaining robot …

Artificial intelligence (AI) methods are poised to revolutionize intellectual work, with
generative AI enabling automation of text analysis, text generation, and simple decision …

The advancement of foundation models, such as large language models (LLMs), vision-
language models (VLMs), diffusion models, and robotics foundation models (RFMs), has …