Name
Abstract | ||
|---|---|---|
In this paper, we present an approach to monitor human activities such as entry, exit and break times of people in a workplace environment. The companion robot then learns the users' presence patterns over a period of time through memory generalisation and plans a suitable time for re charging itself causing less hindrance to human-robot interaction. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/1957656.1957695 | HRI |
Keywords | Field | DocType |
companion robot,recharge behaviour,human activity,presence pattern,memory generalisation,social constraint,workplace environment,robot companion,suitable time,human factors,memory,algorithms,mobile robots,human robot interaction | Computer science,Simulation,Human–computer interaction,Artificial intelligence,Robot,Groundwater recharge,Mobile robot | Conference |
ISSN | Citations | PageRank |
2167-2121 | 1 | 0.37 |
References | Authors | |
4 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amol A. Deshmukh | 1 | 9 | 3.60 |
| Mei Yii Lim | 2 | 158 | 19.69 |
| Michael Kriegel | 3 | 79 | 8.79 |
| Ruth Aylett | 4 | 1377 | 170.50 |
| Kyron Du Casse | 5 | 4 | 0.76 |
| Kheng Lee Koay | 6 | 543 | 46.65 |
| Kerstin Dautenhahn | 7 | 3124 | 347.57 |