Name
Abstract | ||
|---|---|---|
Learning from Demonstration is an established robot learning technique by which a robot acquires a skill by observing a human or robot teacher demonstrating the skill. In this paper we address the ambiguity involved in inferring the intention with one or several demonstrations. We suggest a method based on priming, and a memory model with similarities to human learning. Conducted experiments show that the developed method leads to faster and improved understanding of the intention with a demonstration by reducing ambiguity. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s12369-015-0292-0 | International Journal of Social Robotics |
Keywords | Field | DocType |
Learning from Demonstration,Priming,Ant System,Semantic Networks,Ambiguity,Behavior Learning | Robot learning,Computer science,Simulation,Priming (psychology),Learning from demonstration,Semantic network,Memory model,Artificial intelligence,Robot,Ambiguity,Robotics | Journal |
Volume | Issue | ISSN |
8 | 1 | 1875-4791 |
Citations | PageRank | References |
1 | 0.35 | 26 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benjamin Fonooni | 1 | 15 | 2.36 |
| Thomas Hellström | 2 | 64 | 10.98 |
| Lars-Erik Janlert | 3 | 120 | 11.83 |