Name
Abstract | ||
|---|---|---|
The complexity necessary for robotics software systems to dynamically respond to or handle a variety of evolving scenarios translates into serious development costs and engineering challenges. Dynamic variability is one new strategy for supporting the dynamic behavior of robotics control systems. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MC.2015.354 | IEEE Computer |
Keywords | Field | DocType |
Robot kinematics,Context modeling,Software engineering,Runtime,Navigation | Software engineering,Computer science,Software system,Artificial intelligence,Robotic paradigms,Component-based software engineering,Software construction,Software development,Robotics,Social software engineering,Search-based software engineering | Journal |
Volume | Issue | ISSN |
48 | 12 | 0018-9162 |
Citations | PageRank | References |
5 | 0.43 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davide Brugali | 1 | 370 | 38.83 |
| Rafael Capilla | 2 | 759 | 54.44 |
| Mike Hinchey | 3 | 494 | 51.89 |