Name
Abstract | ||
|---|---|---|
Rating the intelligence of artificially made systems is important for measuring progress in scientific and engineering methods. Unfortunately, there is currently no universal agreement about what is considered an intelligent system, and how to measure its intelligence. This research focus on measuring the progress in the robotic technologies deployed for the RoboCup competitions, since one of the original premises of those competitions was to advance the development of intelligent robotic systems. A method used for rating the competence of human chess players is adapted for measuring the advancement in the competence of robotic teams. The results indicate significant yearly improvements in the capabilities of the robotic teams. The same method can be used to indirectly quantify the benefits in specific technology choices. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/TSMCB.2003.818536 | Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions |
Keywords | Field | DocType |
rating method,robocup competition,intelligent robotic system,human chess player,multirobot research,research focus,robocup example,engineering method,robotic technology,intelligent system,robotic team,significant yearly improvement,original premise,artificial intelligence,intelligent sensors,mobile robots,indexing terms,intelligent systems,machine intelligence,benchmark testing | Robotic systems,Intelligent decision support system,Intelligent sensor,Computer science,Intelligent robots,Human–computer interaction,Artificial intelligence,Machine learning,Benchmark (computing),Mobile robot | Journal |
Volume | Issue | ISSN |
34 | 2 | 1083-4419 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Armin Shmilovici | 1 | 0 | 1.01 |
| Foaid Ramkddam | 2 | 0 | 0.34 |
| Beatriz López | 3 | 319 | 42.30 |
| Josep Lluís De La Rosa | 4 | 260 | 41.38 |