Stuede, M.; Westermann, K.; Schappler, M.; Spindeldreier, S.: Sobi: An Interactive Social Service Robot for Long-Term Autonomy in Open Environments. In: 2021 European Conference on Mobile Robots (ECMR). Piscataway, NJ : IEEE, 2021, S. 1-8. DOI: https://doi.org/10.1109/ECMR50962.2021.9568838
Abstract: | |
Long-term autonomy in service robotics is a current research topic, especially for dynamic, large-scale environments that change over time. We present Sobi, a mobile service robot developed as an interactive guide for open environments, such as public places with indoor and outdoor areas. The robot will serve as a platform for environmental modeling and human-robot interaction. Its main hardware and software components, which we freely license as a documented open source project, are presented. Another key focus is Sobi’s monitoring system for long-term autonomy, which restores system components in a targeted manner in order to extend the total system lifetime without unplanned intervention. We demonstrate first results of the long-term autonomous capabilities in a 16-day indoor deployment, in which the robot patrols a total of 66.6 km with an average of 5.5 hours of travel time per weekday, charging autonomously in between. In a user study with 12 participants, we evaluate the appearance and usability of the user interface, which allows users to interactively query information about the environment and directions.© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
License of this version: | Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. |
Document Type: | BookPart |
Publishing status: | acceptedVersion |
Issue Date: | 2021-10-21 |
Appears in Collections: | Fakultät für Maschinenbau |
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Germany | 29 | 49.15% |
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United States | 10 | 16.95% |
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Russian Federation | 6 | 10.17% |
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Czech Republic | 6 | 10.17% |
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India | 2 | 3.39% |
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China | 2 | 3.39% |
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Poland | 1 | 1.69% |
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Indonesia | 1 | 1.69% |
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Hong Kong | 1 | 1.69% |
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France | 1 | 1.69% |
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