We are pleased to announce Data in Brief recently published a paper of a dataset collected during the RoboCup 2023 and 2024 competitions using the TIAGo robot. This dataset includes ROSbag files containing the robot’s sensor data, as well as external videos documenting the tests.
Key Highlights:
- Real-World Scenarios: The dataset captures the performance of autonomous robots in dynamic environments with human interaction.
- Research Potential: It’s a valuable resource for improving perception and planning models and understanding human-robot interaction.
- ROS Community: This dataset could be particularly interesting for the ROS community, offering real-world data for developing and testing robotic applications.
This dataset is also a crucial resource for evaluating and testing the developments from CoreSense within the social robotics testbed.
You can access the paper here.
Corresponding authors: Irene González Fernández, Juan Diego Peña Narváez , José Miguel Guerrero Hernández and Rodrigo Pérez Rodríguez from Universidad Rey Juan Carlos (URJC); Alejandro González Cantón and Francisco Javier Rodríguez Lera from Universidad de León.
