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Haochen Zhang

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#machine learning Preprint Sep 2026

Contextual Observer Grounding: Evaluating Situated Spatial Reasoning in Vision-Language Models

Reasoning over language instructions in embodied tasks such as robotics often requires understanding spatial relations from a speaker's situated perspective. Humans infer such perspectives from shared environmental knowledge, activity context, and commonsense. Recent vision-language models (VLMs) appear capable of spat...

Mimo Shirasaka, Haochen Zhang, Yonatan Bisk · 0 citations
Review Sep 2026

Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models

For robots to operate reliably in real-world environments, they need to perceive their surroundings, act, and reason about the consequences of those actions. Rapid progress in the domains of representation learning, VLA models, and world models has significantly enhanced the capabilities of robot learning systems, enab...

Shaunak A. Mehta, Ananya Hazarika, Haochen Zhang et al. · 0 citations

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