To reconstruct a predictive 4D representation of the physical world from monocular video captured by a moving camera, we jointly reconstruct dynamic Gaussian radiance fields and infer their underlying physical dynamics. This paper proposes \emph{Physical SLAM}, a physics-aware method for constructing 4D Gaussian fields...
Guang-Ming Wang, Zhi-Shuo Liu, Hai-Bing Wu et al.· 0 citations
Ground Penetrating Radar (GPR) is a widely adopted non-destructive sensing technology for subsurface inspection in civil and transportation engineering. Despite its potential for pavement condition assessment, the large-scale application of GPR in automated inspection has two key challenges: the scarcity of annotated r...
Yuan-Dong Pan, Linjun Lu, Mu-Dan Wang et al.· 0 citations
Understanding articulated objects is fundamental for robotic interaction, requiring accurate rigid-part discovery and the recovery of their kinematic relations. Existing approaches often treat articulation as a by-product of reconstructed geometry or recover it through per-instance optimization. We instead build on the...
Xiao-Tong Li, Yi-Xiong Jing, Jun-Sheng Ding et al.· 0 citations
Robots that follow open-ended language instructions need to connect semantic intent to visual scene understanding, geometric feasibility, object states, and physical interaction conditions. End-to-end Vision-Language-Action policies have improved cross-task generalization, but they typically map visual and language inp...
Guang-Ming Wang, Peng-Fei Ye, Qi-Zhen Ying et al.· 0 citations
BendTwin is presented, a bending-aware differentiable spring--mass framework for video-based reconstruction and future prediction of deformable objects and provides an effective approach for constructing mechanically faithful digital twins from sparse-view RGB-D videos.
Yi-Xiong Jing, Qi Wang, Lin Chen et al.· 0 citations
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