Domain Randomization
openarm_visuomotor_domain_randomization_1000_jointsopenarm_visuomotor_no_domain_randomization_1000_joints_three_camsopenarm_visuomotor_no_domain_randomization_1000_jointsopenarm_visuomotor_no_domain_randomization_1000openarm_visuomotor_domain_randomization_1000panda_domain_randomization
Dataset Card for panda_domain_randomization
Dataset Description
This dataset contains Proportional-Derivative (PD) corrective joint torques generated during Test-Time Adaptation (TTA) simulations for the Panda environment using the domain_randomization policy.
The dataset is structured for use in downstream machine learning workflows (such as training secondary diffusion or flow-matching models).
Physical Environment
Robot: Panda
Degrees of Freedom… See the full description on the dataset page: https://huggingface.co/datasets/ReForceMind/panda_domain_randomization.