Name
Abstract | ||
|---|---|---|
Many robotics applications involve navigating to positions specified in terms of their semantic significance. A robot operating in a hotel may need to deliver room service to a named room. In a hospital, it may need to deliver medication to a patient's room. The Building-Wide Intelligence Project at UT Austin has been developing a fleet of autonomous mobile robots, called BWIBots, which perform tasks in the computer science department. Tasks include guiding a person, delivering a message, or bringing an object to a location such as an office, lecture hall, or classroom. The process of constructing a map that a robot can use for navigation has been simplified by modern SLAM algorithms. The attachment of semantics to map data, however, remains a tedious manual process of labeling locations in otherwise automatically generated maps. This paper introduces a system called PRISM to automate a step in this process by enabling a robot to localize door signs-a semantic markup intended to aid the human occupants of a building-and to annotate these locations in its map. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IROS.2018.8593681 | 2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) |
Field | DocType | ISSN |
Lecture hall,Computer vision,Semantic mapping,Computer science,Human–computer interaction,Artificial intelligence,Semantic HTML,Robot,Mobile robot,Robotics,Semantics | Conference | 2153-0858 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Justin W. Hart | 1 | 191 | 15.23 |
| Rishi Shah | 2 | 6 | 1.82 |
| Sean Kirmani | 3 | 0 | 0.34 |
| Nick Walker | 4 | 7 | 3.21 |
| Kathryn Baldauf | 5 | 0 | 0.34 |
| Nathan John | 6 | 0 | 0.34 |
| Peter Stone | 7 | 6878 | 688.60 |