9 datasets found

A new challenging dataset for real-world object picking tasks, consisting of 1,180 images with bounding boxes and text instructions annotated.

OLAF is a learning system that allows everyday users to teach a robot using verbal corrections when the robot makes mistakes.

The dataset used in the paper is a driving simulator dataset, where the robot and human interact in a driving scenario. The dataset is used to evaluate the performance of the...

Paired-Embedding (PE) method for effective and reliable data augmentation, Act2Act network learns from augmented data

The SCOUT corpus is a multi-modal human-robot communication corpus, containing language used across all dialogue floors along with the associated still photos taken and LIDAR maps.

The CORSMAL Containers Manipulation dataset is a dataset of audio-visual recordings of people interacting with containers.

Aligning robot behavior with human preferences is crucial for deploying embodied AI agents in human-centered environments. A promising solution is interactive imitation learning...

The dataset used in the study on the use of a humanoid robot for auditory psychophysical testing.

A dataset for training the HQ-Net model and the GViT model for ultra-range gesture recognition.