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20212025
most citedStARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning

16 citations · 36 across the 11 of their papers we have counts for

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cs.RO2024

Theia: Distilling Diverse Vision Foundation Models for Robot Learning

Jinghuan Shang, Karl Schmeckpeper, Brandon B. May +4

Vision-based robot policy learning, which maps visual inputs to actions, necessitates a holistic understanding of diverse visual tasks beyond single-task needs like classification…

cs.RO2024★ 2 cited

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Xiang Li, Cristina Mata, Jongwoo Park +8

Vision Language Models (VLMs) have recently been leveraged to generate robotic actions, forming Vision-Language-Action (VLA) models. However, directly adapting a pretrained VLM for…