activity
20222026
most citedDo As I Can, Not As I Say: Grounding Language in Robotic Affordances

524 citations · 855 across the 19 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.RO2024★ 2 cited

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs

Hao-Tien Lewis Chiang, Zhuo Xu, Zipeng Fu +19

An elusive goal in navigation research is to build an intelligent agent that can understand multimodal instructions including natural language and image, and perform useful navigat…

cs.RO2024★ 1 cited

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches

Priya Sundaresan, Quan Vuong, Jiayuan Gu +10

Natural language and images are commonly used as goal representations in goal-conditioned imitation learning (IL). However, natural language can be ambiguous and images can be over…

cs.RO2024★ 5 cited

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Soroush Nasiriany, Fei Xia, Wenhao Yu +20

Vision language models (VLMs) have shown impressive capabilities across a variety of tasks, from logical reasoning to visual understanding. This opens the door to richer interactio…

cs.RO2024★ 1 cited

Learning to Learn Faster from Human Feedback with Language Model Predictive Control

Jacky Liang, Fei Xia, Wenhao Yu +47

Large language models (LLMs) have been shown to exhibit a wide range of capabilities, such as writing robot code from language commands -- enabling non-experts to direct robot beha…

cs.RO2024★ 14 cited

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents

Michael Ahn, Debidatta Dwibedi, Chelsea Finn +24

Foundation models that incorporate language, vision, and more recently actions have revolutionized the ability to harness internet scale data to reason about useful tasks. However,…