most citedUnleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.ROShow all

2 papers · 1 filter

cs.RO2025

RoboOmni: Proactive Robot Manipulation in Omni-modal Context

Siyin Wang, Jinlan Fu, Feihong Liu +11

Recent advances in Multimodal Large Language Models (MLLMs) have driven rapid progress in Vision-Language-Action (VLA) models for robotic manipulation. Although effective in many s…

cs.RO2025

LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

Senyu Fei, Siyin Wang, Junhao Shi +10

Visual-Language-Action (VLA) models report impressive success rates on robotic manipulation benchmarks, yet these results may mask fundamental weaknesses in robustness. We perform…