Name
Abstract | ||
|---|---|---|
Autonomous mobile robots have the potential to change our everyday life. Unresolved challenges which span a large spectrum
of artificial intelligence research need to be answered to progress further towards this vision. This article addresses the
problem of robot localisation and mapping, which plays a vital role for robot autonomy in unknown environments. An analysis
of the potential for using embodied data is performed, and the notion of direct and indirect embodied data is introduced.
Further, the implications of embodied data for an embodied SLAM algorithm are investigated and set into a robotic context. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s13218-010-0033-3 | KI |
Keywords | Field | DocType |
spectrum,artificial intelligent | Cognitive robotics,Everyday life,Computer science,Embodied agent,Embodied cognition,Human–computer interaction,Robot locomotion,Artificial intelligence,Simultaneous localization and mapping,Robot,Machine learning,Mobile robot | Journal |
Volume | Issue | ISSN |
24 | 3 | 1610-1987 |
Citations | PageRank | References |
3 | 0.45 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jakob Schwendner | 1 | 23 | 4.07 |
| Frank Kirchner | 2 | 64 | 9.48 |