311 datasets found

This paper proposes a dataset generation pipeline that uses physics simulation to generate images of objects in cluttered scenes.

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

Robotic Videos dataset contains videos and corresponding user-to-robot textual commands.

The Humanoid Walk dataset is a collection of images of a humanoid robot performing various tasks.

MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning

A dataset for transparent object detection and reconstruction on a mobile platform.

A large scale synthetic dataset for transparent objects learning, which can boost the performance for both our approach and competing methods in real-world testing cases.

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

The dataset used in the paper is a reinforcement learning environment, specifically the MiniGrid and BabyAI environments.

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 for the experiments in the paper, consisting of 2D and 3D environments, and objects to interact with.

The Desk Cleanup environment, which consists of a robotic arm and several blocks on a desk.

The Fetch Manipulation environment with 3 blocks, which consists of a robotic arm with a gripper and three blocks.

The Fetch Manipulation environment with 2 blocks, which consists of a robotic arm with a gripper and two blocks.

The Fetch Manipulation environment built on top of Mujoco, which consists of a robotic arm with a gripper and square blocks.

The Words2Contact dataset contains verbal instructions for humanoid robots to place support contacts.

The dataset used for training and testing the proposed localizability estimation approach.

A dataset of sampled robot configurations and associated ground-truth labels required for training the VAE and the performance predictors.