CLARU
EvoGym2021cc-by-nc-4.0

Evolution Gym Dataset

A large-scale benchmark dataset containing 90,000+ annotated soft robot structures co-optimized for design and control across 32 locomotion and manipulation tasks. The dataset includes robot morphologies generated through genetic algorithms, Bayesian optimization, and CPPN-NEAT with corresponding reward annotations.

Downloads88
Episodes90563
Likes1

Why This Matters for Physical AI

This dataset enables research in co-design and co-optimization of robot morphologies and control policies, which is crucial for understanding how embodiment affects learning and performance in soft robotics systems.

Technical Profile

Modalities
proprioception
Robot Embodiments
soft-robotvoxel-robot
Environment
simulation
Task Types
locomotionmanipulation
Episodes
90563
Annotation Types
reward_labels
License
cc-by-nc-4.0
Part of the Evolution Gym family

Access

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