CLARU
LeWAM

LeWAM TwoDoor2

Simulation training data for the LeWAM algorithm consisting of 500 episodes with 13,571 frames of robotic manipulation in a two-door environment.

Downloads17
Episodes500

Why This Matters for Physical AI

Provides simulation-based training data for learning world models and manipulation policies, supporting development of embodied AI systems that can generalize from synthetic environments.

Technical Profile

Modalities
rgb
Action Space
joint_positions
Environment
simulation
Task Types
manipulation
Episodes
500
Data Format
HDF5
Annotation Types
action_labels
Part of the LeWAM family

Access

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