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cs.RO2025

InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy

Xinyi Chen, Yilun Chen, Yanwei Fu +26

We introduce InternVLA-M1, a unified framework for spatial grounding and robot control that advances instruction-following robots toward scalable, general-purpose intelligence. Its…

cs.RO2025

Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities

Liuyi Wang, Xinyuan Xia, Hui Zhao +6

Recent Vision-and-Language Navigation (VLN) advancements are promising, but their idealized assumptions about robot movement and control fail to reflect physically embodied deploym…

cs.RO2025

GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation

Ning Gao, Yilun Chen, Shuai Yang +7

Robotic manipulation in real-world settings remains challenging, especially regarding robust generalization. Existing simulation platforms lack sufficient support for exploring how…

cs.RO2025

CronusVLA: Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling

Hao Li, Shuai Yang, Yilun Chen +8

Recent vision-language-action (VLA) models built on pretrained vision-language models (VLMs) have demonstrated strong performance in robotic manipulation. However, these models rem…

cs.RO2025

LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents

Rui Li, Zixuan Hu, Wenxi Qu +13

Scientific embodied agents play a crucial role in modern laboratories by automating complex experimental workflows. Compared to typical household environments, laboratory settings…

cs.RO2025

TeleOpBench: A Simulator-Centric Benchmark for Dual-Arm Dexterous Teleoperation

Hangyu Li, Qin Zhao, Haoran Xu +10

Teleoperation is a cornerstone of embodied-robot learning, and bimanual dexterous teleoperation in particular provides rich demonstrations that are difficult to obtain with fully a…