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Baseline Training Dataset
The Baseline Training Dataset is used for training the CNN model, it contains 556 images from nine distinct rooms. -
COLD Freiburg Database
The COLD Freiburg Database contains omnidirectional images captured by a robot which follows various paths within a building at Freiburg University. -
Reference-tracking control experiments with a heavy-duty machine
The dataset used in the paper is a set of reference-tracking control experiments with a heavy-duty machine. -
Meta-World and Robomimic
The dataset used in the paper is a robotic manipulation task dataset, which consists of trajectories and preference labels. -
Meta-world
Meta-world is a collection of 50 robotic manipulation tasks. -
DeepMind Control Suite
The DeepMind Control Suite is a collection of 20 robotic manipulation tasks, each with 5 different environments and 5 different robot parameters. The tasks are designed to test... -
BBRL Activations Dataset
The dataset used in the paper is a collection of activations from a feature extraction network and a reactive network, used to train a Variational Autoencoder (VAE) to learn... -
NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills
A system for applying sim2real approaches to “in the wild” scenes with realistic visuals, and to policies which rely on active perception using RGB cameras. -
D4RL Benchmark
D4RL benchmark dataset, which consists of four offline logging datasets, collected by different one or mixed behavior policies. -
Pendulum and Reacher
The Pendulum swing-up task, the agent tries to keep the pendulum upright and balanced under the constraint of keeping away from unsafe angles. In the Reacher task, the robotic... -
GraspNet-1Billion
GraspNet-1Billion is a large-scale real-world grasping dataset containing 190 cluttered grasping scenes and 97,280 RGB-D images captured by 2 kinds of RGB-D cameras from 256... -
Grasp-Anything-6D
Grasp-Anything-6D is a large-scale dataset for language-driven 6-DoF grasp detection in 3D point clouds. It consists of 1M point cloud scenes with comprehensive object grasping... -
Roboschool
The dataset used in the ACE algorithm for continuous control problems. -
AFVSGP-HOCBF
The dataset used in the paper for real-time adaptive safety-critical control with Gaussian processes in high-order uncertain models. -
FurnitureBench
The FurnitureBench dataset used for the Residual RL for Precise Visual Assembly task. -
Residual RL for Precise Visual Assembly
The dataset used for the Residual RL for Precise Visual Assembly task. -
Gymnasium MuJoCo Benchmark
The dataset used in the paper is the Gymnasium MuJoCo benchmark, which is a collection of robotic manipulation tasks. -
MuJoCo Benchmark
The dataset used in the paper is the MuJoCo benchmark, which is a collection of robotic manipulation tasks.
