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Zhi-Yang Dou

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Preprint Aug 2026

HarnessEval-W: Agentifying the Evaluation of Visual Worlds

A benchmark should deliver more than a scalar score: what makes an evaluation trustworthy is the reasoning that justifies the score. This is especially critical for world models, where judging a rollout requires understanding whether physics, causality, and world state evolve correctly. Humans spot such violations natu...

Weiliang Chen, Haowen Sun, Jun Gao et al. · 2 citations
Preprint Sep 2026

Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation

Long-form narrative-to-film generation requires shot-level controllability and cross-clip consistency in both visual identity and character behavior-requirements that remain difficult to satisfy with current prompt-based workflows. A core reason existing workflows remain brittle is the lack of a structured intermediate...

Jiaben Chen, Si Dong, Qinhong Zhou et al. · 2 citations · ⚡1
#machine learning Preprint Sep 2026

UniMate: One Unified Model to Animate Diverse Skeletons

UniMate is presented, a unified foundation model that synthesizes articulated motion for arbitrary skeletons from a rigged 3D asset and a text prompt, with no test-time optimization or per-skeleton retraining, and outperforms state-of-the-art baselines in quality, generalization, and efficiency.

Lin-Zhan Mou, Jiahui Lei, Zhi-Yang Dou et al. · 0 citations
Preprint Aug 2026

RoboEdit: Turning Human Manipulation Videos into Scalable Robot Experience

Collecting robot hand-object interaction data is costly and embodiment-specific, yet abundant human-object videos remain unusable for robot training. We present RoboEdit, a human-to-robot video editing suite that transforms human manipulation videos into action-consistent, physically plausible robot videos with aligned...

Yaowei Guo, Zeng Tao, Yuxin Jiang et al. · 1 citation
Review Aug 2026

Learning Physical Interaction: A Survey of Tactile- and Force-aware Robot Learning

Physically grounded robot intelligence requires robots to perceive, reason about, and regulate their interactions with the physical world. This capability is particularly critical in contact-sensitive manipulation, where successful task execution depends not only on visual perception and motion generation, but also on...

Shilin Shan, Chu-Hao Zhou, Rui-Ze Wang et al. · 0 citations
Open access Jul 2026

NeuralActuator: Neural Actuation Modeling for Robot Dynamics and External Force Perception

This work validates NeuralActuator on a 5-DoF OpenManipulator-X, a 6-DoF SO-101 from LeRobot, and a 7-DoF Franka Emika Panda, spanning three actuator families and costs from approximately \$500 to more than \$30{,}000.

Zhiyang Dou, John U. Onyemelukwe, Hang Zhang et al. · 0 citations

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