activity
20242026
most citedOpen-Vocabulary Object-Goal Navigation by Generalizing Semantic Mapping with Dense CLIP

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing cs.ROShow all

6 papers · 1 filter

cs.RO2026

StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling

Meng Wei, Chenyang Wan, Xiqian Yu +9

Vision-and-Language Navigation (VLN) in real-world settings requires agents to process continuous visual streams and generate actions with low latency grounded in language instruct…

cs.RO20261 cited

Open-Vocabulary Object-Goal Navigation by Generalizing Semantic Mapping with Dense CLIP

Meng Wei, Chenyang Wan, Tai Wang +6

Object-oriented embodied navigation tasks require agents to locate specific objects, either defined by category or images, in unseen environments. While recent methods have made pr…

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

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.RO2024

CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics

Jiawei Gao, Ziqin Wang, Zeqi Xiao +7

Enabling humanoid robots to clean rooms has long been a pursued dream within humanoid research communities. However, many tasks require multi-humanoid collaboration, such as carryi…

cs.RO2024

GRUtopia: Dream General Robots in a City at Scale

Hanqing Wang, Jiahe Chen, Wensi Huang +19

Recent works have been exploring the scaling laws in the field of Embodied AI. Given the prohibitive costs of collecting real-world data, we believe the Simulation-to-Real (Sim2Rea…