Abstract
Research on human-robot interaction is getting an increasing amount of attention. Since most research has dealt with communication between one robot and one person, quite few researchers have studied communication between a robot and multiple people. This paper presents a method that enables robots to communicate with multiple people using the "selection priority of the interactive partner" based on the concept of Proxemics. In this method, a robot changes active sensory-motor modalities based on the interaction distance between itself and a person. Our method was implemented into a humanoid robot, SIG2. SIG2 has various sensory-motor modalities to interact with humans. A demonstration of SIG2 showed that our method selected an appropriate interaction partner during interaction with multiple people.
| Original language | English |
|---|---|
| Pages (from-to) | 209-219 |
| Number of pages | 11 |
| Journal | Transactions of the Japanese Society for Artificial Intelligence |
| Volume | 20 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2005 |
| Externally published | Yes |
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Keywords
- Distance based behavoir selection
- Humanoid
- Interaction
- Proxemics
- Subsumption architecture
ASJC Scopus subject areas
- Artificial Intelligence
Cite this
Dynamic communication of humanoid robot with multiple people based on interaction distance. / Tasaki, Tsuyoshi; Matsumoto, Shohei; Ohba, Hayato; Yamamoto, Shunichi; Toda, Mitsuhiko; Komatani, Kazunori; Ogata, Tetsuya; Okuno, Hiroshi G.
In: Transactions of the Japanese Society for Artificial Intelligence, Vol. 20, No. 3, 2005, p. 209-219.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Dynamic communication of humanoid robot with multiple people based on interaction distance
AU - Tasaki, Tsuyoshi
AU - Matsumoto, Shohei
AU - Ohba, Hayato
AU - Yamamoto, Shunichi
AU - Toda, Mitsuhiko
AU - Komatani, Kazunori
AU - Ogata, Tetsuya
AU - Okuno, Hiroshi G.
PY - 2005
Y1 - 2005
N2 - Research on human-robot interaction is getting an increasing amount of attention. Since most research has dealt with communication between one robot and one person, quite few researchers have studied communication between a robot and multiple people. This paper presents a method that enables robots to communicate with multiple people using the "selection priority of the interactive partner" based on the concept of Proxemics. In this method, a robot changes active sensory-motor modalities based on the interaction distance between itself and a person. Our method was implemented into a humanoid robot, SIG2. SIG2 has various sensory-motor modalities to interact with humans. A demonstration of SIG2 showed that our method selected an appropriate interaction partner during interaction with multiple people.
AB - Research on human-robot interaction is getting an increasing amount of attention. Since most research has dealt with communication between one robot and one person, quite few researchers have studied communication between a robot and multiple people. This paper presents a method that enables robots to communicate with multiple people using the "selection priority of the interactive partner" based on the concept of Proxemics. In this method, a robot changes active sensory-motor modalities based on the interaction distance between itself and a person. Our method was implemented into a humanoid robot, SIG2. SIG2 has various sensory-motor modalities to interact with humans. A demonstration of SIG2 showed that our method selected an appropriate interaction partner during interaction with multiple people.
KW - Distance based behavoir selection
KW - Humanoid
KW - Interaction
KW - Proxemics
KW - Subsumption architecture
UR - http://www.scopus.com/inward/record.url?scp=18544389205&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=18544389205&partnerID=8YFLogxK
U2 - 10.1527/tjsai.20.209
DO - 10.1527/tjsai.20.209
M3 - Article
VL - 20
SP - 209
EP - 219
JO - Transactions of the Japanese Society for Artificial Intelligence
JF - Transactions of the Japanese Society for Artificial Intelligence
SN - 1346-0714
IS - 3
ER -