21 datasets found

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

The dataset used in the paper for human-robot interaction, specifically for perspective-taking tasks.

NOIR is a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals.

The Ravestate dataset is a multimodal interactive behavioral policy designed using the Signal-Rule-Slot system. It includes a structured set of diverse rule modules for verbal,...

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

YOLO is a social robot designed and developed to stimulate creativity in children through storytelling activities.

The dataset used in the paper is a simulation environment for social navigation with human empowerment.

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 dataset used in the paper for learning preference-agnostic representations from trajectory similarity queries.

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

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

The dataset used in the paper is not explicitly described, but it is mentioned that the authors recreated three existing HRI studies with LLMs.

A dataset of 359,413 images and corresponding interaction forces collected using an electronic motor-based device.

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

Human-centered in-building embodied delivery task dataset, including a simulation environment and a large language model-based dataset.

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

The dataset is used for online human motion prediction and synthesis for human-robot collaboration.

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