most citedUni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks

2 citations · 2 across the 5 of their papers we have counts for

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cs.RO2025

UrbanVLA: A Vision-Language-Action Model for Urban Micromobility

Anqi Li, Zhiyong Wang, Jiazhao Zhang +5

Urban micromobility applications, such as delivery robots, demand reliable navigation across large-scale urban environments while following long-horizon route instructions. This ta…

cs.RO2025

TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking

Jiahang Liu, Yunpeng Qi, Jiazhao Zhang +9

Embodied Visual Tracking (EVT) is a fundamental ability that underpins practical applications, such as companion robots, guidance robots and service assistants, where continuously…

cs.RO2025

Embodied Navigation Foundation Model

Jiazhao Zhang, Anqi Li, Yunpeng Qi +14

Navigation is a fundamental capability in embodied AI, representing the intelligence required to perceive and interact within physical environments following language instructions.…

cs.RO2025

TrackVLA: Embodied Visual Tracking in the Wild

Shaoan Wang, Jiazhao Zhang, Minghan Li +7

Embodied visual tracking is a fundamental skill in Embodied AI, enabling an agent to follow a specific target in dynamic environments using only egocentric vision. This task is inh…

cs.RO2025

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data

Shengliang Deng, Mi Yan, Songlin Wei +10

Embodied foundation models are gaining increasing attention for their zero-shot generalization, scalability, and adaptability to new tasks through few-shot post-training. However,…

cs.RO2025

SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation

Zekun Qi, Wenyao Zhang, Yufei Ding +15

While spatial reasoning has made progress in object localization relationships, it often overlooks object orientation-a key factor in 6-DoF fine-grained manipulation. Traditional p…