Details
| Original language | English |
|---|---|
| Title of host publication | Advances in Artificial Intelligence - 39th Annual German Conference on AI, KI 2016, Proceedings |
| Editors | Malte Helmert, Franz Wotawa, Gerhard Friedrich |
| Publisher | Springer Verlag |
| Pages | 102-115 |
| Number of pages | 14 |
| ISBN (print) | 9783319460727 |
| Publication status | Published - 2016 |
| Externally published | Yes |
| Event | 39th German Conference on Artificial Intelligence, KI 2016 - Klagenfurt, Austria Duration: 26 Sept 2016 → 30 Sept 2016 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 9904 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 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.
Keywords
- Human-robot interaction, Memory service system, Natural language understanding, Object detection, Person detection, Robotic home assistant, Social robotics, Speech recognition
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
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Advances in Artificial Intelligence - 39th Annual German Conference on AI, KI 2016, Proceedings. ed. / Malte Helmert; Franz Wotawa; Gerhard Friedrich. Springer Verlag, 2016. p. 102-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9904 LNAI).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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 -