activity
20242026
most citedNaVILA: Legged Robot Vision-Language-Action Model for Navigation

2 citations · 4 across the 10 of their papers we have counts for

collaborators

13 papers

cs.RO2026

Long-Horizon Manipulation via Trace-Conditioned VLA Planning

Isabella Liu, An-Chieh Cheng, Rui Yan +7

Long-horizon manipulation remains challenging for vision-language-action (VLA) policies: real tasks are multi-step, progress-dependent, and brittle to compounding execution errors.…

cs.RO2026

Cross-Hand Latent Representation for Vision-Language-Action Models

Guangqi Jiang, Yutong Liang, Jianglong Ye +6

Dexterous manipulation is essential for real-world robot autonomy, mirroring the central role of human hand coordination in daily activity. Humans rely on rich multimodal perceptio…

cs.RO2025

From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Hands

Jianglong Ye, Lai Wei, Guangqi Jiang +3

Human grasps can be roughly categorized into two types: power grasps and precision grasps. Precision grasping enables tool use and is believed to have influenced human evolution. T…

cs.RO2025

GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation

Guangqi Jiang, Haoran Chang, Ri-Zhao Qiu +6

This paper presents GSWorld, a robust, photo-realistic simulator for robotics manipulation that combines 3D Gaussian Splatting with physics engines. Our framework advocates "closin…

cs.RO2025

EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos

Ruihan Yang, Qinxi Yu, Yecheng Wu +12

Real robot data collection for imitation learning has led to significant advancements in robotic manipulation. However, the requirement for robot hardware in the process fundamenta…

cs.RO2025

Dex1B: Learning with 1B Demonstrations for Dexterous Manipulation

Jianglong Ye, Keyi Wang, Chengjing Yuan +6

Generating large-scale demonstrations for dexterous hand manipulation remains challenging, and several approaches have been proposed in recent years to address this. Among them, ge…