Name
Abstract | ||
|---|---|---|
A commonsense understanding of the physical world will be crucial for the robots of the future as they strive to perform everyday activities and instructions formulated by human users in natural language. One mechanism that is believed to assist human cognition in commonsense reasoning is mental simulation, the envisioning of actions before they are performed. We therefore present a system integrating simulation of robot plans with probabilistic reasoning about natural-language instructions. This integration allows the robotic system to efficiently infer knowledge about the physical world that would be tedious to specify by hand in a collection of logical statements. Our system will be available online for open use by researchers. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.5555/3091125.3091407 | AAMAS |
Keywords | Field | DocType |
Simulation techniques tools and platforms,simulated plan execution,natural language understanding,physics reasoning | Robotic systems,Computer science,Commonsense reasoning,Natural language,Natural language understanding,Human–computer interaction,Artificial intelligence,Probabilistic logic,Robot,Cognition,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mihai Pomarlan | 1 | 20 | 6.37 |
| Daniel Nyga | 2 | 107 | 6.99 |
| Mareike Picklum | 3 | 1 | 1.37 |
| Sebastian Koralewski | 4 | 2 | 2.43 |
| Michael Beetz | 5 | 3784 | 284.03 |