Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Advances in Artificial Intelligence - 39th Annual German Conference on AI, KI 2016, Proceedings |
| Herausgeber/-innen | Malte Helmert, Franz Wotawa, Gerhard Friedrich |
| Herausgeber (Verlag) | Springer Verlag |
| Seiten | 102-115 |
| Seitenumfang | 14 |
| ISBN (Print) | 9783319460727 |
| Publikationsstatus | Veröffentlicht - 2016 |
| Extern publiziert | Ja |
| Veranstaltung | 39th German Conference on Artificial Intelligence, KI 2016 - Klagenfurt, Österreich Dauer: 26 Sept. 2016 → 30 Sept. 2016 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 9904 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
We present the robotic system IRMA (Interactive Robotic Memory Aid) that assists humans in their search for misplaced belongings within a natural home-like environment. Our stand-alone system integrates state-of-the-art approaches in a novel manner to achieve a seamless and intuitive human-robot interaction. IRMA directs its gaze toward the speaker and understands the person’s verbal instructions independent of specific grammatical constructions. It determines the positions of relevant objects and navigates collision-free within the environment. In addition, IRMA produces natural language descriptions for the objects’ positions by using furniture as reference points. To evaluate IRMA’s usefulness, a user study with 20 participants has been conducted. IRMA achieves an overall user satisfaction score of 4.05 and a perceived accuracy rating of 4.15 on a scale from 1–5 with 5 being the best.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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- RIS
Advances in Artificial Intelligence - 39th Annual German Conference on AI, KI 2016, Proceedings. Hrsg. / Malte Helmert; Franz Wotawa; Gerhard Friedrich. Springer Verlag, 2016. S. 102-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 9904 LNAI).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - A robotic home assistant with memory aid functionality
AU - Wieser, Iris
AU - Toprak, Sibel
AU - Grenzing, Andreas
AU - Hinz, Tobias
AU - Auddy, Sayantan
AU - Can Karaoğuz, Ethem
AU - Chandran, Abhilash
AU - Remmels, Melanie
AU - El Shinawi, Ahmed
AU - Josifovski, Josip
AU - Vankadara, Leena Chennuru
AU - Ul Wahab, Faiz
AU - Bahnemiri, Alireza M.
AU - Sahu, Debasish
AU - Heinrich, Stefan
AU - Navarro-Guerrero, Nicolás
AU - Strahl, Erik
AU - Twiefel, Johannes
AU - Wermter, Stefan
N1 - Publisher Copyright: © Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - We present the robotic system IRMA (Interactive Robotic Memory Aid) that assists humans in their search for misplaced belongings within a natural home-like environment. Our stand-alone system integrates state-of-the-art approaches in a novel manner to achieve a seamless and intuitive human-robot interaction. IRMA directs its gaze toward the speaker and understands the person’s verbal instructions independent of specific grammatical constructions. It determines the positions of relevant objects and navigates collision-free within the environment. In addition, IRMA produces natural language descriptions for the objects’ positions by using furniture as reference points. To evaluate IRMA’s usefulness, a user study with 20 participants has been conducted. IRMA achieves an overall user satisfaction score of 4.05 and a perceived accuracy rating of 4.15 on a scale from 1–5 with 5 being the best.
AB - We present the robotic system IRMA (Interactive Robotic Memory Aid) that assists humans in their search for misplaced belongings within a natural home-like environment. Our stand-alone system integrates state-of-the-art approaches in a novel manner to achieve a seamless and intuitive human-robot interaction. IRMA directs its gaze toward the speaker and understands the person’s verbal instructions independent of specific grammatical constructions. It determines the positions of relevant objects and navigates collision-free within the environment. In addition, IRMA produces natural language descriptions for the objects’ positions by using furniture as reference points. To evaluate IRMA’s usefulness, a user study with 20 participants has been conducted. IRMA achieves an overall user satisfaction score of 4.05 and a perceived accuracy rating of 4.15 on a scale from 1–5 with 5 being the best.
KW - Human-robot interaction
KW - Memory service system
KW - Natural language understanding
KW - Object detection
KW - Person detection
KW - Robotic home assistant
KW - Social robotics
KW - Speech recognition
UR - http://www.scopus.com/inward/record.url?scp=84988651952&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-46073-4_8
DO - 10.1007/978-3-319-46073-4_8
M3 - Conference contribution
AN - SCOPUS:84988651952
SN - 9783319460727
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 102
EP - 115
BT - Advances in Artificial Intelligence - 39th Annual German Conference on AI, KI 2016, Proceedings
A2 - Helmert, Malte
A2 - Wotawa, Franz
A2 - Friedrich, Gerhard
PB - Springer Verlag
T2 - 39th German Conference on Artificial Intelligence, KI 2016
Y2 - 26 September 2016 through 30 September 2016
ER -