285 datasets found

The dataset is used to train the ClearanceNet model. It contains 106 training and 104 evaluation samples for each environment.

ClearanceNet is a neural network that estimates minimum separation distance, conditioned on joint robot-workspace pose. ClearanceNet is trained using large-scale hyperparameter...

The dataset used in the paper is a Servo Reacher environment, which is a continuous-time control setting.

Generating coherent and natural movement is the key challenge in video generation. This research proposes to condense video generation into a problem of motion generation, to...

The dataset used in the paper is a set of point clouds generated by ORB-SLAM3, a state-of-the-art vision feature-based SLAM system.

The dataset used in the paper is a collection of simulated environments, including blockworld, canada, cart, cartpole, cartpoleBalance, cartpoleParallelDouble,...

Mobile construction tasks in 1/2/3D grid worlds

The Ant, Walker2d, and Hopper datasets are used for testing the proposed method.

The Walker2d, Hopper, and Ant datasets are used for testing the proposed method.

The HalfCheetah, Walker2d, and Ant datasets are used for testing the proposed method.

The Hopper, Walker2d, and Ant datasets are used for testing the proposed method.

The dataset for 2D triangle packing, 2D shape arrangement with qualitative constraints, 3D object stacking with stability constraints, and 3D object packing with robots.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used several continuous control environments from the OpenAI Gym.

The dataset used in this paper is a vision-based control task developed using a robotic arm and a mobile robot.

The dataset used in this paper is a vision-based control task developed using a robotic arm and a mobile robot.

The dataset used in the paper is a collection of images of cups with different attributes (shape, color, position) and their corresponding goal positions.

The dataset used in the paper is a collection of images of cups with different attributes (shape, color, position) and their corresponding goal positions.

A multi-agent soccer environment with continuous simulated physics.

A benchmark suite for continuous cooperative multi-agent robotic control.

A new indoor human motion dataset for autonomous robots, RoAM is a synchronised and timestamped image-action pair sequence dataset, recorded with a Turtlebot3 Burger robot with...