activity
20242026
collaborators

15 papers

cs.RO2026

Lift3D-VLA: Lifting VLA Models to 3D Geometry and Dynamics-Aware Manipulation

Jiaming Liu, Qingpo Wuwu, Nuowei Han +8

Recently, Vision-Language-Action (VLA) models have demonstrated strong generalization across diverse tasks. However, effective robotic manipulation in physical environments fundame…

cs.RO2026

LaST-HD: Learning Latent Physical Reasoning from Scalable Human Data for Robot Manipulation

Jiaming Liu, Yinxi Wang, Chenyang Gu +15

Human-hand demonstrations provide a direct and scalable source of physical interaction data for robot learning. While manual retargeting is indispensable for establishing kinematic…

cs.RO2026

MV-WAM: Manifold-Aware World Action Model with Value Augmentation

Jintao Chen, Peidong Jia, Qingpo Wuwu +13

Achieving robust and generalizable manipulation across diverse environments remains a fundamental challenge in embodied robotics. Recent world action models achieve strong in-domai…

cs.AI2026

Agents' Last Exam

Yiyou Sun, Xinyang Han, Weichen Zhang +378

Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional d…

cs.RO2026

GraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors

Dongli Wu, Xiaobao Wei, Hao Wang +5

Robotic grasping is a fundamental capability in robotic manipulation. Yet grasping remains challenging under partial observations. Reliable grasping depends on both local contact c…

cs.CV2026

SparseStreet: Sparse Gaussian Splatting for Real-Time Street Scene Simulation

Qingpo Wuwu, Xiaobao Wei, Peng Chen +6

While 3D Gaussian Splatting has shown promising results in street scene reconstruction, existing methods require massive numbers of Gaussian primitives to capture fine details, lea…

cs.RO2026

Wow, wo, val! A Comprehensive Embodied World Model Evaluation Turing Test

Chun-Kai Fan, Xiaowei Chi, Xiaozhu Ju +18

As world models gain momentum in Embodied AI, an increasing number of works explore using video foundation models as predictive world models for downstream embodied tasks like 3D p…

cs.RO2025

ManualVLA: A Unified VLA Model for Chain-of-Thought Manual Generation and Robotic Manipulation

Chenyang Gu, Jiaming Liu, Hao Chen +9

Vision-Language-Action (VLA) models have recently emerged, demonstrating strong generalization in robotic scene understanding and manipulation. However, when confronted with long-h…

cs.RO2025

RoboArmGS: High-Quality Robotic Arm Splatting via Bézier Curve Refinement

Hao Wang, Xiaobao Wei, Ying Li +6

Constructing photorealistic and controllable robotic arm digital assets from real observations is fundamental to robotic applications. Current approaches naively bind static 3D Gau…

cs.RO2025

WoW: Towards a World omniscient World model Through Embodied Interaction

Xiaowei Chi, Peidong Jia, Chun-Kai Fan +33

Humans develop an understanding of intuitive physics through active interaction with the world. This approach is in stark contrast to current video models, such as Sora, which rely…

cs.CV2025

OmniIndoor3D: Comprehensive Indoor 3D Reconstruction

Xiaobao Wei, Xiaoan Zhang, Hao Wang +4

We propose a novel framework for comprehensive indoor 3D reconstruction using Gaussian representations, called OmniIndoor3D. This framework enables accurate appearance, geometry, a…

cs.CE2025

PINNsAgent: Automated PDE Surrogation with Large Language Models

Qingpo Wuwu, Chonghan Gao, Tianyu Chen +6

Solving partial differential equations (PDEs) using neural methods has been a long-standing scientific and engineering research pursuit. Physics-Informed Neural Networks (PINNs) ha…

cs.CV2024

MixedGaussianAvatar: Realistically and Geometrically Accurate Head Avatar via Mixed 2D-3D Gaussians

Peng Chen, Xiaobao Wei, Qingpo Wuwu +3

Reconstructing high-fidelity 3D head avatars is crucial in various applications such as virtual reality. The pioneering methods reconstruct realistic head avatars with Neural Radia…

cs.CV2024

EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting

Xiaobao Wei, Qingpo Wuwu, Zhongyu Zhao +5

Photorealistic reconstruction of street scenes is essential for developing real-world simulators in autonomous driving. While recent methods based on 3D/4D Gaussian Splatting (GS)…

cs.AI2024

Implicit Neural Image Field for Biological Microscopy Image Compression

Gaole Dai, Cheng-Ching Tseng, Qingpo Wuwu +9

The rapid pace of innovation in biological microscopy imaging has led to large images, putting pressure on data storage and impeding efficient sharing, management, and visualizatio…