Work

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

Year: 2025

Type: conference-paper

Abstract: 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.

Source: Proceedings of International Conference on Artificial Life and Robotics

DOI: 10.5954/icarob.2025.os17-3

Authors: Koshun Arimura, Yuga Yano, Takuya Kawabata, Hakaru Tamukoh

Institution: Kyushu Institute of Technology

Language: English

Topic: Social Robot Interaction and HRI

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: bronze

Funders: Japan Society for the Promotion of Science, Advanced Low Carbon Technology Research and Development Program

Awards: Realization and Fundamental Elucidation of Intelligent Processing Using Material Reservoirs with Extremely High Information Density, G2364066242, G7712781798