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

6 citations · 6 across the 4 of their papers we have counts for

collaborators

6 papers

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.CV2026

Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning

Xianqiang Gao, Qizhi Chen, Delin Qu +5

Video spatial reasoning requires accumulating viewpoint-dependent evidence over time while retaining information useful to the question being asked. Existing spatial video-language…

cs.RO2025

EO-1: An Open Unified Embodied Foundation Model for General Robot Control

Delin Qu, Haoming Song, Qizhi Chen +13

The human ability to seamlessly perform multimodal reasoning and physical interaction in the open world is a core goal for general purpose embodied intelligent systems. Recent visi…

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.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…