Robocup 2023-2024 ROSbag Dataset

Irene González Fernández; Juan Diego Peña Narváez; José Miguel Guerrero Hernández; Rodrigo Pérez Rodríguez; Alejandro González Cantón; Francisco Javier Rodríguez Lera

doi:10.1016/j.dib.2024.111086

Robocup 2023-2024 ROSbag Dataset

Data Brief. 2024 Oct 28:57:111086. doi: 10.1016/j.dib.2024.111086. eCollection 2024 Dec.

Authors

Irene González Fernández¹, Juan Diego Peña Narváez¹, José Miguel Guerrero Hernández¹, Rodrigo Pérez Rodríguez¹, Alejandro González Cantón², Francisco Javier Rodríguez Lera²

Affiliations

¹ Department of Signal Theory and Communications and Telematic Systems and Computation, Universidad Rey Juan Carlos, Campus Fuenlabrada, Camino del Molino, 5, Fuenlabrada, Madrid 28942, Spain.
² Department of Mechanical, Computer Science and Aerospace Engineering, Universidad de León, Campus Vegazana, s/n, León 24007, Spain.

Abstract

This dataset was collected during the 2023 and 2024 RoboCup competitions using the TIAGo robot equipped with an RGB-D camera, a Hokuyo laser, and a RODE microphone. The dataset includes ROSbag files that capture the robot's sensory data and planning task behavior, as well as video recordings that provide third-person perspectives of task execution. These data provide information about the performance of autonomous robots in social tasks and navigation in dynamic environments with human interaction.

Keywords: Human-robot interaction; Perception; ROS 2; Robotics competition; Sensor fusion; Social robots.