activity
20222026
most citedFine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

8 citations · 17 across the 14 of their papers we have counts for

collaborators
Showing cs.ROShow all

2 papers · 1 filter

cs.RO2026

GR-Dexter Technical Report

Ruoshi Wen, Guangzeng Chen, Zhongren Cui +23

Vision-language-action (VLA) models have enabled language-conditioned, long-horizon robot manipulation, but most existing systems are limited to grippers. Scaling VLA policies to b…

cs.RO2024★ 2 cited

KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data

Grace Tang, Swetha Rajkumar, Yifei Zhou +3

Building generalist robotic systems involves effectively endowing robots with the capabilities to handle novel objects in an open-world setting. Inspired by the advances of large p…