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AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation

By Kaifeng Zhang and others
Predictive models are a crucial component of many robotic systems. Yet, constructing accurate predictive models for a variety of deformable objects, especially those with unknown physical properties, remains a significant challenge. This paper introduces AdaptiGraph, a learning-based dynamics modeling approach that enables robots to predict, adapt to, and control a... Show more
July 10, 2024
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AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation
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