Official implementation of "SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds "
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Updated
Apr 10, 2026 - Python
Official implementation of "SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds "
A toolkit for massively parallel procedural generation of deformable forests and Proprioceptive Contact-Aware Policy Learning (PCAP) for gentle, contact-aware robotic manipulation of tree branches.
Implements a probabilistic, simulator-driven Bayesian inference framework using SVGD to learn spring-model parameters and predict branch deformation dynamics under robotic manipulation.
A toolkit for training whole-arm reinforcement learning policies that manipulate and clear clusters of deformable objects. Combines point-cloud perception and proprioceptive touch to enable contact-rich, full-arm interaction.
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