CLARU
DLS-IITmit

Proprioceptive Synthetic

Pre-generated synthetic robotics benchmarks for symmetry-aware proprioceptive regression tasks, built from Pinocchio and organized by robot and noise variants.

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Why This Matters for Physical AI

This dataset enables learning equivariant representations of robot dynamics by providing precomputed proprioceptive regression tasks with explicit symmetry metadata, advancing group-theoretic approaches to robotics learning.

Technical Profile

Modalities
proprioception
Robot Embodiments
ANYmal C
Environment
simulation
Task Types
regression
Data Format
parquet
Annotation Types
symmetry_metadata
License
mit
Part of the Proprioceptive Synthetic family

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