| Title: | OS17-3 Integrating Advance Speech Recognition and Human Attribute Detection for Enhanced Receptionist Tasks in RoboCup@Home |
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| Publication: | ICAROB2025 |
| Volume: | 30 |
| Pages: | 480-483 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2025.OS17-3 |
| Author(s): | Koshun Arimura, Yuga Yano, Takuya Kawabata, Hakaru Tamukoh |
| Publication Date: | February 13, 2025 |
| Keywords: | Human-robot interaction, Speech Recognition, Human feature detection |
| 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. |
| PDF File: | https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS17/OS17-3.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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