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Jianhua Sun

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Preprint Sep 2026

NeuIDO: Neural Intrinsic Dynamics Operator for Physics-Informed 4D World Models

World models aim to capture environmental dynamics and predict future trajectories, showing growing potential for embodied intelligence. Physics-informed 4D generation integrates physical simulation to predict 3D object interactions, offering a promising pathway toward world models. However, this paradigm relies on man...

Jia-Jing Lin, Xin Zhang, Jianhua Sun · 0 citations
Jul 2026

Explicit Kinematic Guidance from Analytic Concepts for Vision-Language-Action Models

A Concept Expert module is constructed for VLA to build executable Analytic Concepts that represent objects as explicit, programmatic blueprints that provide explicit, high-quality guidance for VLA fine-tuning through dense, programmatic manipulation rewards and precise spatial guidance.

Mingyang Sun, Jiu-De Wei, Xiujian Liang et al. · 0 citations
Preprint Aug 2026

Analytic Dynamics: Learning Physics-Grounded Representation for Fast Intrinsic Dynamics Inference from Monocular Videos

This work proposes Analytic Dynamics, a feed-forward dynamics inference framework that introduces an intermediate physics-grounded dynamics representation between visual observations and intrinsic dynamics, and achieves efficient, accurate, and generalizable dynamics inference from monocular videos.

Jailing Lin, Ji-Kuan Zhang, Jianhua Sun · 0 citations
Conference Open access Sep 2026

Empowering Precise Embodied Agents with Executable Analytic Concepts as Semantic-Physical Blueprints

GRACE is pro-posed, an agent framework that adopts Executable Analytic Concepts (EAC) as a core knowledge annotation paradigm for object understanding and supports automated concept discovery, offering a scalable and modular solution for high-precision embodied intelligence.

Mingyang Sun, Jiu-De Wei, Qi-Chen He et al. · 0 citations
Jun 2026

Analytic Concept-Centric Memory for Agentic Embodied Manipulation

This work proposes an analytic concept-centric memory framework for agentic embodied manipulation that improves task completion, retrieval accuracy, object re-identification, and cross-object skill generalization over unstructured and embedding-based memory baselines.

Mingyang Sun, Xiujian Liang, Jiude Wei et al. · 0 citations

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