25 datasets found

A dataset of multi-cable knots for disentangling, including two or three cables with varying knot types and configurations.

The dataset used in the paper is a MuJoCo environment, with 13-states and 4-control inputs, nonlinear dynamics with polynomial dependency in the control inputs.

The HandManipulateBlock environment from OpenAI gym robotics suite

The FetchPickAndPlace and HandManipulateBlock environments from OpenAI gym robotics suite

The FetchPush, FetchPickAndPlace and HandManipulateBlock environments from OpenAI gym robotics suite

The dataset used in the paper describes the behavior of a robotic system that opens a drawer and grasps tennis balls from it. The dataset includes the sensor data and controller...

The dataset used in the paper is a manipulation planning task for a 7 degree-of-freedom robot manipulator. The goal is to predict a set of initial trajectories so as to maximize...

The dataset used for learning the dynamic behavior of tree branches by utilizing the simulation-based parameter inference approach.

D3Fields — dynamic 3D descriptor fields for zero-shot generalizable robotic manipulation tasks

The dataset used in the paper is RLBench, a standard benchmark for vision-based robotics which has been shown to serve as a proxy for real-robot experiments.

The Continual World benchmark consists of ten realistic robotic manipulation tasks.

A benchmark for evaluating task compositionality and long-horizon tasks through object manipulation, with language serving as the mechanism for goal specification.

A multi-directional high-resolution tactile sensor for robotic manipulation

Established point cloud sequence-based garment reconstruction dataset by adapting CLOTH3D for experiments.

The YCB object and model set is a benchmark for manipulation research, consisting of 15 object categories and 3D models.

A dataset for robotic manipulation tasks, including ChestPush, ChestPickAndPlace, and BlockStack.

A dataset for multi-step sparse reward tasks, including gridworld tasks and robotic manipulation tasks.

The dataset used in the paper is a set of real-world tasks performed by a Franka Emika robot arm.

The dataset used in the paper is a set of 12 simulation tasks in MimicGen, a dataset for robotic manipulation tasks.

The dataset used in the paper is a robotic manipulation task dataset, which consists of trajectories and preference labels.