Name
Abstract | ||
|---|---|---|
We describe a behavioral navigation approach that leverages the rich semantic structure of human environments to enable robots to navigate without an explicit geometric representation of the world. Based on this approach, we then present our efforts to allow robots to follow navigation instructions in natural language. With our proof-of-concept implementation, we were able to translate natural language navigation commands into a sequence of behaviors that could then be executed by a robot to reach a desired goal.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3173386.3177001 | HRI (Companion) |
Keywords | Field | DocType |
Human-Robot Interaction, Navigation, Verbal Communication | Computer science,Nonverbal communication,Natural language,Human–computer interaction,Geometric representation,Robot,Human–robot interaction | Conference |
ISSN | ISBN | Citations |
2167-2121 | 978-1-4503-5615-2 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoxue Zang | 1 | 2 | 1.06 |
| Marynel Vázquez | 2 | 153 | 14.04 |
| Juan Carlos Niebles | 3 | 1485 | 80.45 |
| A. Soto | 4 | 18 | 1.37 |
| Silvio Savarese | 5 | 3975 | 161.69 |