Academic Journal
ROS2-Based Low-Cost Mobile Robot for Educational Assistance with Reactive Navigation and Semantic-Cached Language Processing.
| Τίτλος: | ROS2-Based Low-Cost Mobile Robot for Educational Assistance with Reactive Navigation and Semantic-Cached Language Processing. |
|---|---|
| Συγγραφείς: | Aucapiña, Sebastián Alexis, Benalcázar, Nataly Cecilia, Varela-Aldás, José, Isa-Jara, Ramiro |
| Πηγή: | Robotics; Jul2026, Vol. 15 Issue 7, p131, 21p |
| Θεματικοί όροι: | Mobile robots, Natural language processing, Object recognition (Computer vision), Oral communication, Academic support programs |
| Περίληψη: | Educational environments, particularly those with limited resources, require affordable mobile robots capable of combining human–robot interaction, autonomous assistance, and academic support without continuous dependence on cloud services. This work presents a low-cost ROS2-based mobile robot implemented on a Raspberry Pi 4B to provide educational assistance in Spanish within controlled classroom environments. The system integrates voice interaction, text-to-speech synthesis, YOLOv8n-based object perception, a specialized door detection model, ultrasonic and inertial sensing, differential-drive control, and a hybrid natural language processing architecture based on semantic caching, local inference, and optional cloud connectivity. Two task-dependent operating modes, education and navigation, selectively activate ROS2 nodes to reduce computational load and energy consumption. Experimental tests conducted in a university classroom evaluated speech recognition, vision models, natural language processing alternatives, sensor behavior, and battery life. The speech recognition module achieved 98% accuracy under both quiet and noisy conditions. YOLOv8n achieved an F1-score of 0.975 for common classroom objects, while the specialized door detector achieved 100% recall with 58.7% precision. The semantic cache correctly resolved recurrent academic queries in the exact-match evaluation, with an average latency of 3.8 s, reducing the need for external language models in known-question scenarios. The robot operated for 96 min in education mode and 75.6 min in navigation mode. These results demonstrate that Spanish voice interaction, reactive navigation, academic question answering, and resource-aware operation can be integrated into a single low-cost edge robotic platform for educational environments. [ABSTRACT FROM AUTHOR] |
| Copyright of Robotics is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=22186581&ISBN=&volume=15&issue=7&date=20260701&spage=131&pages=131-151&title=Robotics&atitle=ROS2-Based%20Low-Cost%20Mobile%20Robot%20for%20Educational%20Assistance%20with%20Reactive%20Navigation%20and%20Semantic-Cached%20Language%20Processing.&aulast=Aucapi%C3%B1a%2C%20Sebasti%C3%A1n%20Alexis&id=DOI:10.3390/robotics15070131 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
|---|---|
| Header | DbId: edb DbLabel: Complementary Index An: 195795013 RelevancyScore: 1082 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1082.42175292969 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: ROS2-Based Low-Cost Mobile Robot for Educational Assistance with Reactive Navigation and Semantic-Cached Language Processing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Aucapiña%2C+Sebastián+Alexis%22">Aucapiña, Sebastián Alexis</searchLink><br /><searchLink fieldCode="AR" term="%22Benalcázar%2C+Nataly+Cecilia%22">Benalcázar, Nataly Cecilia</searchLink><br /><searchLink fieldCode="AR" term="%22Varela-Aldás%2C+José%22">Varela-Aldás, José</searchLink><br /><searchLink fieldCode="AR" term="%22Isa-Jara%2C+Ramiro%22">Isa-Jara, Ramiro</searchLink> – Name: TitleSource Label: Source Group: Src Data: Robotics; Jul2026, Vol. 15 Issue 7, p131, 21p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Mobile+robots%22">Mobile robots</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22Object+recognition+%28Computer+vision%29%22">Object recognition (Computer vision)</searchLink><br /><searchLink fieldCode="DE" term="%22Oral+communication%22">Oral communication</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+support+programs%22">Academic support programs</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Educational environments, particularly those with limited resources, require affordable mobile robots capable of combining human–robot interaction, autonomous assistance, and academic support without continuous dependence on cloud services. This work presents a low-cost ROS2-based mobile robot implemented on a Raspberry Pi 4B to provide educational assistance in Spanish within controlled classroom environments. The system integrates voice interaction, text-to-speech synthesis, YOLOv8n-based object perception, a specialized door detection model, ultrasonic and inertial sensing, differential-drive control, and a hybrid natural language processing architecture based on semantic caching, local inference, and optional cloud connectivity. Two task-dependent operating modes, education and navigation, selectively activate ROS2 nodes to reduce computational load and energy consumption. Experimental tests conducted in a university classroom evaluated speech recognition, vision models, natural language processing alternatives, sensor behavior, and battery life. The speech recognition module achieved 98% accuracy under both quiet and noisy conditions. YOLOv8n achieved an F1-score of 0.975 for common classroom objects, while the specialized door detector achieved 100% recall with 58.7% precision. The semantic cache correctly resolved recurrent academic queries in the exact-match evaluation, with an average latency of 3.8 s, reducing the need for external language models in known-question scenarios. The robot operated for 96 min in education mode and 75.6 min in navigation mode. These results demonstrate that Spanish voice interaction, reactive navigation, academic question answering, and resource-aware operation can be integrated into a single low-cost edge robotic platform for educational environments. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Robotics is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=195795013 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/robotics15070131 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 131 Subjects: – SubjectFull: Mobile robots Type: general – SubjectFull: Natural language processing Type: general – SubjectFull: Object recognition (Computer vision) Type: general – SubjectFull: Oral communication Type: general – SubjectFull: Academic support programs Type: general Titles: – TitleFull: ROS2-Based Low-Cost Mobile Robot for Educational Assistance with Reactive Navigation and Semantic-Cached Language Processing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Aucapiña, Sebastián Alexis – PersonEntity: Name: NameFull: Benalcázar, Nataly Cecilia – PersonEntity: Name: NameFull: Varela-Aldás, José – PersonEntity: Name: NameFull: Isa-Jara, Ramiro IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22186581 Numbering: – Type: volume Value: 15 – Type: issue Value: 7 Titles: – TitleFull: Robotics Type: main |
| ResultId | 1 |