Integrating Advance Speech Recognition and Human Attribute Detection for Enhanced Receptionist Tasks in RoboCup@Home

RoboCup@Home is held to integrate service robots into society.It includes a task called "Receptionist" that evaluates Human-Robot Interaction.In this task, a robot must ask guests for their names and favorite drinks and guide them to available seats.Additionally, the robot must introduce the guest's features, such as their clothing, to others.We developed a system integrating speech recognition and human attribute detection to achieve these functions.The robot can determine which seat a person is sitting in by detecting the person's skeletal coordinates.Additionally, the robot can identify individuals by recognizing human attributes.To verify the effectiveness of the developed system, we participated in the Receptionist task at RoboCup@Home 2024.We won first place in our league and demonstrated the effectiveness of our system.