CLARU
LeWAM

LeWAM Transport — three views

Simulation training data for LeWAM containing 1,029 episodes with multi-view camera observations (224×224 RGB) and 14-dimensional actions collected in a transport task environment.

Downloads16
Episodes1,029

Why This Matters for Physical AI

This dataset provides large-scale simulation training data with multi-view observations and action labels essential for training visuomotor control policies for robotic transport tasks.

Technical Profile

Modalities
rgb
Action Space
joint_positions
Environment
simulation
Task Types
transport
Episodes
1,029
Data Format
HDF5
Annotation Types
action_labels
Part of the LeWAM family

Access

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