Author

Haibao Yu

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Preprint Aug 2026

KnockGS:interaction-Grounded Calibrationof Physical Gaussian Representations

This work proposes KnockGS, an interaction-response PhysicalGS framework that estimates the elasticity and density scales of a 3D Gaussian object from its dynamics under a known applied force, and recovers the scales substantially more accurately than response retrieval, global regression, or a fixed default material.

Chenchen Ge, Hanwen Shen, Bowen Jing et al. · 0 citations

Preprint Aug 2026

GaussianDream++: Efficient 3D Gaussian World Modeling for Robotic Manipulation

GaussianDream demonstrates that training-time current Gaussian reconstruction and future Gaussian prediction provide effective 3D supervision, but its dense VGGT/TGE-based prefix jointly carries state, dynamics, and action-conditioning information.

Yuqing Jiang, Zijian Zhang, Weitao Zhou et al. · 0 citations

Preprint Aug 2026

GaussianWAM: Distilling Geometry and Semantics from 3D Gaussian Fields into World-Action Models

GaussianWAM is proposed, a training-time representation-enhancement framework that organizes geometric and semantic supervision through a 3D Gaussian field and improves performance on standard LIBERO and shows positive transfer trends on RoboTwin and real-world manipulation.

Zijian Zhang, Yuqing Jiang, Weitao Zhou et al. · 0 citations