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 recharging itself causing less hindrance to human-robot interaction.
| Original language | English |
|---|---|
| Title of host publication | HRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction |
| Pages | 129-130 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 6th ACM/IEEE International Conference on Human-Robot Interaction - Lausanne, Switzerland Duration: 6 Mar 2011 → 9 Mar 2011 |
Conference
| Conference | 6th ACM/IEEE International Conference on Human-Robot Interaction |
|---|---|
| Abbreviated title | HRI 2011 |
| Country/Territory | Switzerland |
| City | Lausanne |
| Period | 6/03/11 → 9/03/11 |
Keywords
- Algorithms
- Human factors