104 datasets found

The dataset used in the paper is a collection of animal motion data, including walking, running, jumping, and sitting motions.

The Oxford Radar RobotCar dataset is a radar extension to the Oxford RobotCar dataset, containing radar observations of a vehicle in various scenarios.

The dataset is a collection of 75 user-generated scenes for a tidying task, where users are asked to arrange objects in a tidy manner.

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.

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

The T-Less dataset is used for testing the class-adaptive object detector. It contains 15 objects with a large number of occurrences.

The HomeBrew dataset is used for testing the class-adaptive object detector. It contains 30 objects with a large number of occurrences.

The YCB-V dataset is used for testing the class-adaptive object detector. It contains 33 objects with a large number of occurrences.

The dataset used in the paper is a custom-made 3 degrees of freedom (DOF) hopping leg system, mounted on a vertical rail with 1 passive DOF and 2 active DOFs.

The dataset used for the PR2 manipulation task.

The dataset used for the inverted pendulum task.

SemanticKITTI: A dataset for semantic scene understanding of lidar sequences.

Semantic segmentation of point clouds is a key component of scene understanding for robotics and autonomous driving. In this paper, we introduce TORNADO-Net - a neural network...

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

iCubWorld Transformations (iCWT): a dataset for object recognition and manipulation

The cross-scale dataset is built from the Scott Reef 25 dataset (2009) provided by Australian Centre for Field Robotics (ACFR). The dataset contains 1000 data tuples to split...

The dataset used in the paper for composable part-based manipulation (CPM) task.

The dataset is used for training YOLO-based object detection models. It contains images of test tubes held in racks and synthetic images created by pasting tube cap regions onto...

The dataset used in the paper is a set of real-world robot learning tasks, including Create-Reacher, UR5-VisualReacher, Vector-ChargerDetector, and Franka-VisualReacher.

The Arctic dataset is a benchmark for dexterous bimanual hand-object manipulation.