Name
Abstract | ||
|---|---|---|
Current technology produces a big mass of information. The application of this information gives meaning and purpose to this data. Mobile robots can benefit from this information. This paper proposes a framework to apply semantic information to the navigation of autonomous mobile robots, tracking the robot movement into a semantic trajectory and analyzing the context data on the decision-making process through a behavior tree. Experiments show that this framework provides a structure to intelligent navigation and data information to improve the robot behavior. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 IEEE/ACS 13TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | Semantic information, Semantic trajectory, Autonomous mobile robots, Behavior tree, Context information, Intelligent navigation |
Field | DocType | ISSN |
Computer science,Real-time computing,Human–computer interaction,Artificial intelligence,Behavior-based robotics,Trajectory,Motion planning,Computer vision,Robot control,Mobile robot navigation,Robot,Mobile robot,Semantics | Conference | 2161-5322 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando de L. Siqueira | 1 | 2 | 0.80 |
| Patricia Della Mea Plentz | 2 | 11 | 6.40 |
| Edson R. Pieri | 3 | 8 | 4.22 |