104 datasets found

The dataset used for sim-to-real domain adaptation in robotics, consisting of tasks with randomized dynamics.

The dataset used in this paper for training and testing the legged locomotion system using egocentric vision.

The dataset used in the paper is a collection of environments with multiple confounders, including mass, length, damping, and a crippled leg. The dataset is used to evaluate the...

In-house collected dataset of 34 volunteers for ultrasound-guided robotic navigation

The dataset used in the paper is a simulated robot environment.

The dataset used in the paper is a simulated self-driving car environment, a mountain car environment, and a robotic environment.

The dataset used for the collaborative robotic biopsy system, containing data on needle tip forces, tissue interfaces, and user feedback.

The dataset used in the paper is an Inverted Pendulum dataset, which is a standard benchmark system in control and reinforcement learning.

The dataset used in the paper is the EuRoc micro aerial vehicle (MAV) datasets.

The dataset used for training a robotic agent to play the theremin instrument using time-dependent goals.

A survey of simulators for small-scale autonomous cars

A survey of small-scale car platforms, categorizing them and detailing the research advancements accomplished through their usage

The dataset used in the paper is a collection of data points from a unicycle robot system, where the robot is controlled using a policy computed via Algorithm 1. The dataset is...

The dataset used in the paper is a set of motor babbling data, which is used to initialize the dynamics model and to optimize the control policies.

The RLBench dataset is used for robot learning benchmark and learning environment.

The reference motion dataset is a collection of reference motions for locomotion skills, including canter, pace, walk, trot, turns, backflips, and various jumps.

The Versatile Instructable Motion prior (VIM) dataset is a comprehensive reference motion dataset for legged robots, comprising mocap sequences, synthetic motion sequences, and...

A dataset of 100 workspaces for training and 10 workspaces for testing, with 200 unseen start and goal configurations in each workspace.

A dataset of 110 different workspaces for motion planning, including simple 2D (s2D), complex 2D (c2D), complex 3D (c3D), and rigid-body (rigid) environments.

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