activity
20242026
most citedLearning 2D Invariant Affordance Knowledge for 3D Affordance Grounding

6 citations · 6 across the 7 of their papers we have counts for

collaborators

10 papers

cs.RO2026

CoSMO: Conformal Semantic Mapping for Open-World Safe Robot Navigation

Shuqi Wang, Yiwei Zheng, Pingrui Zhang +2

Safe autonomous navigation requires not only geometric obstacle avoidance but also semantic awareness. Different object categories demand different safety clearances, and the set o…

cs.RO2026

MixVLA: Adaptive Mixing of Non-Invariant Information for Generalizable Vision-Language-Action Models

Pingrui Zhang, Yu Zhang, Pengyuan Wu +8

Vision-Language-Action (VLA) models have achieved remarkable advances in robotic manipulation, yet their zero-shot generalization under out-of-distribution (OOD) conditions remains…

cs.RO2026

Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy

Pengyuan Wu, Pingrui Zhang, Zhigang Wang +3

Diffusion-based policies have achieved remarkable results in robotic manipulation but often struggle to adapt rapidly in dynamic scenarios, leading to delayed responses or task fai…

cs.CV2025

Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds

Xianhui Meng, Yukang Huo, Li Zhang +6

Articulated objects are prevalent in daily life and robotic manipulation tasks. However, compared to rigid objects, pose tracking for articulated objects remains an underexplored p…

cs.RO2025

FastUMI-100K: Advancing Data-driven Robotic Manipulation with a Large-scale UMI-style Dataset

Kehui Liu, Zhongjie Jia, Yang Li +14

Data-driven robotic manipulation learning depends on large-scale, high-quality expert demonstration datasets. However, existing datasets, which primarily rely on human teleoperated…

cs.CV2025

Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation

Pingrui Zhang, Yifei Su, Pengyuan Wu +7

Vision-and-Language Navigation (VLN) requires the agent to navigate by following natural instructions under partial observability, making it difficult to align perception with lang…

cs.RO2025

MoMa-Kitchen: A 100K+ Benchmark for Affordance-Grounded Last-Mile Navigation in Mobile Manipulation

Pingrui Zhang, Xianqiang Gao, Yuhan Wu +6

In mobile manipulation, navigation and manipulation are often treated as separate problems, resulting in a significant gap between merely approaching an object and engaging with it…

cs.RO2024

FastUMI: A Scalable and Hardware-Independent Universal Manipulation Interface with Dataset

Zhaxizhuoma, Kehui Liu, Chuyue Guan +15

Real-world manipulation data involving robotic arms is crucial for developing generalist action policies, yet such data remains scarce since existing data collection methods are hi…

cs.CV2024★ 6 cited

Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding

Xianqiang Gao, Pingrui Zhang, Delin Qu +4

3D Object Affordance Grounding aims to predict the functional regions on a 3D object and has laid the foundation for a wide range of applications in robotics. Recent advances tackl…

cs.CV2024

LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control

Delin Qu, Qizhi Chen, Pingrui Zhang +5

This paper scales object-level reconstruction to complex scenes, advancing interactive scene reconstruction. We introduce two datasets, OmniSim and InterReal, featuring 28 scenes w…