Making social robots adaptable and to some extent educable by a marketplace for the selection and adjustment of different interaction characters living inside a single robot
The increasing integration of autonomous robotic systems across various industries necessitates adaptable social interaction capabilities. This paper presents a novel software architecture for socially adaptable robots, emphasizing simplicity, domain independence, and user influence on robotic behav...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Robotics and AI |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2025.1534346/full |
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| _version_ | 1850215213967605760 |
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| author | Sebastian Reitelshöfer Nina Merz Gabriela Garcia Yuqiang Wei Jörg Franke |
| author_facet | Sebastian Reitelshöfer Nina Merz Gabriela Garcia Yuqiang Wei Jörg Franke |
| author_sort | Sebastian Reitelshöfer |
| collection | DOAJ |
| description | The increasing integration of autonomous robotic systems across various industries necessitates adaptable social interaction capabilities. This paper presents a novel software architecture for socially adaptable robots, emphasizing simplicity, domain independence, and user influence on robotic behaviour. The architecture leverages a marketplace-based agent selection system to dynamically adapt social interaction patterns to diverse users and scenarios. Implemented using ROS2, the framework comprises four core components: scene analysis, a bidding platform, social agents, and a feedback service. A Validation through simulated experiments shows the architecture’s feasibility and adaptability, with respect to varying feedback conditions and learning rates. This work lays the foundation for scalable, adaptable, and user-friendly robotic systems, addressing key challenges in industrial and social robotics. Future improvements include enhanced scene analysis, integration of machine learning techniques, and support for more complex behavioural scripts. |
| format | Article |
| id | doaj-art-633c463695e24064b2b296af028ada7d |
| institution | OA Journals |
| issn | 2296-9144 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Robotics and AI |
| spelling | doaj-art-633c463695e24064b2b296af028ada7d2025-08-20T02:08:40ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442025-04-011210.3389/frobt.2025.15343461534346Making social robots adaptable and to some extent educable by a marketplace for the selection and adjustment of different interaction characters living inside a single robotSebastian ReitelshöferNina MerzGabriela GarciaYuqiang WeiJörg FrankeThe increasing integration of autonomous robotic systems across various industries necessitates adaptable social interaction capabilities. This paper presents a novel software architecture for socially adaptable robots, emphasizing simplicity, domain independence, and user influence on robotic behaviour. The architecture leverages a marketplace-based agent selection system to dynamically adapt social interaction patterns to diverse users and scenarios. Implemented using ROS2, the framework comprises four core components: scene analysis, a bidding platform, social agents, and a feedback service. A Validation through simulated experiments shows the architecture’s feasibility and adaptability, with respect to varying feedback conditions and learning rates. This work lays the foundation for scalable, adaptable, and user-friendly robotic systems, addressing key challenges in industrial and social robotics. Future improvements include enhanced scene analysis, integration of machine learning techniques, and support for more complex behavioural scripts.https://www.frontiersin.org/articles/10.3389/frobt.2025.1534346/fullsocial robotssoftware architecturemarketplacesocial skillsadaptabilityrobot operating system ROS |
| spellingShingle | Sebastian Reitelshöfer Nina Merz Gabriela Garcia Yuqiang Wei Jörg Franke Making social robots adaptable and to some extent educable by a marketplace for the selection and adjustment of different interaction characters living inside a single robot Frontiers in Robotics and AI social robots software architecture marketplace social skills adaptability robot operating system ROS |
| title | Making social robots adaptable and to some extent educable by a marketplace for the selection and adjustment of different interaction characters living inside a single robot |
| title_full | Making social robots adaptable and to some extent educable by a marketplace for the selection and adjustment of different interaction characters living inside a single robot |
| title_fullStr | Making social robots adaptable and to some extent educable by a marketplace for the selection and adjustment of different interaction characters living inside a single robot |
| title_full_unstemmed | Making social robots adaptable and to some extent educable by a marketplace for the selection and adjustment of different interaction characters living inside a single robot |
| title_short | Making social robots adaptable and to some extent educable by a marketplace for the selection and adjustment of different interaction characters living inside a single robot |
| title_sort | making social robots adaptable and to some extent educable by a marketplace for the selection and adjustment of different interaction characters living inside a single robot |
| topic | social robots software architecture marketplace social skills adaptability robot operating system ROS |
| url | https://www.frontiersin.org/articles/10.3389/frobt.2025.1534346/full |
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