Name
Abstract | ||
|---|---|---|
A central problem in designing and implementing interactivesystems—action selection—is also a core research topic inautomated planning. While numerous toolkits are availablefor building end-to-end interactive systems, the tight couplingof representation, reasoning, and technical frameworks foundin these toolkits often makes it difficult to compare or changethe underlying domain models. In contrast, the automatedplanning community provides general-purpose representationlanguages and multiple planning engines that support theselanguages. We describe our recent work on automated planningfor task-based social interaction, using a robot that mustinteract with multiple humans in a bartending domain. |
Year | Venue | Field |
|---|---|---|
2016 | AAAI Fall Symposia | General purpose,Simulation,Computer science,Human–computer interaction,Robot,Action selection,Domain model,Human–robot interaction |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ronald P. A. Petrick | 1 | 309 | 24.24 |
| Mary Ellen Foster | 2 | 364 | 36.47 |