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#physics-grounded News & Analysis

2 articles tagged with #physics-grounded. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · May 286/10
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Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation

Researchers introduce Center-of-Pressure (CoP), a physics-grounded tactile representation that enables robots to perform complex contact-rich manipulation tasks through sim-to-real transfer learning. The method preserves dense touch sensor information while remaining robust across simulation-to-reality gaps, demonstrating zero-shot transfer on dexterous hand tasks like peg insertion and ball balancing.

AINeutralarXiv – CS AI · May 46/10
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Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling

Researchers propose Hamiltonian World Models, a physics-grounded approach to generative world modeling that encodes observations into structured latent phase spaces and evolves them through Hamiltonian-inspired dynamics. The framework aims to address limitations in current world models by prioritizing physical accuracy and action-controllability alongside visual realism, with applications to robotics, autonomous driving, and reinforcement learning.