103 citations · 131 across the 4 of their papers we have counts for
4 papers
Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation
Quanting Xie, So Yeon Min, Pengliang Ji +7
There is no limit to how much a robot might explore and learn, but all of that knowledge needs to be searchable and actionable. Within language research, retrieval augmented genera…
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
Yafei Hu, Quanting Xie, Vidhi Jain +20
Building general-purpose robots that operate seamlessly in any environment, with any object, and utilizing various skills to complete diverse tasks has been a long-standing goal in…
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Embodiment Collaboration, Abby O'Neill, Abdul Rehman +291
Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, thi…
MAEA: Multimodal Attribution for Embodied AI
Vidhi Jain, Jayant Sravan Tamarapalli, Sahiti Yerramilli +1
Understanding multimodal perception for embodied AI is an open question because such inputs may contain highly complementary as well as redundant information for the task. A releva…