Datasets used to train the models for the Context-Aware Deep Lagrangian Networks for Model Predictive Control (CaDeLaC).
panda_mj_101_rand_envs_20_runs_50Hz_lqr: 100 environments with randomly sampled loads at the end-effector, along with one environment with only the robot. Each environment contains 20 runs with random initialization and joint references, for a total of 2020 runs.
panda_mj_nominal_env_20_runs_50Hz_lqr: 20 runs of a single… See the full description on the dataset page:
https://huggingface.co/datasets/schulze18/cadelac.
