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Autonomous Catheterization with Open-Source Simulator and Expert Trajectory
Endovascular robots have been actively developed in both academia and industry. However, progress toward autonomous catheterization is often hampered by the widespread use of... -
Test Demonstrations Dataset
The dataset used for testing the performance of the learned dynamics model. -
Teacher Demonstrations Dataset
The dataset used for training the learned dynamics model, containing demonstrations from a teacher with two end-effectors. -
Optimized Demonstrations Dataset
The dataset used for training the downstream LfD method, containing optimized demonstrations. -
Random Actions Dataset
The dataset used for training the forward dynamics model, containing random actions from various states. -
HouseExpo dataset
The HouseExpo dataset is a large-scale 2D indoor layout dataset for learning-based algorithms. It contains 5,000 images as training data, 200 images as model validation data,... -
ANYmal Robot Dataset
A dataset of sampled robot configurations and associated ground-truth labels required for training the VAE and the performance predictors. -
Sparse Representation Learning with Modified q-VAE towards Minimal Realization...
The dataset used in this paper is a collection of high-dimensional observation data from cameras and LiDAR, used for training a world model. -
Picking task dataset
The dataset used in the paper is a collection of sequences of motor actions used to train a deep visuomotor policy. -
AFVSGP-HOCBF
The dataset used in the paper for real-time adaptive safety-critical control with Gaussian processes in high-order uncertain models. -
Compositional Diffusion-Based Continuous Constraint Solvers
The dataset for 2D triangle packing, 2D shape arrangement with qualitative constraints, 3D object stacking with stability constraints, and 3D object packing with robots. -
OpenAI Gym
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used several continuous control environments from the OpenAI Gym.