Name
Abstract | ||
|---|---|---|
We would like to trigger developments towards fully autonomous self-build humanoid robots. Therefore we took so-called performance
factors for the different dimensions with regard to autonomy (external power cord, computer outside robot, remote control).
Each were to be 1.2 and if more then one is applicable then they are multiplied (1.2, 1.44, 1.728, 2.0736). These factors
were either used as penalty factor (e.g. in the walking the time was multiplied by them) or as handicap (in penalty kicking
the score was divided by them). I think that they are working quite well (with regard to the above stated intention) and will
certainly prefer the more autonomous robots but will also allow for semi-autonomous ones if their performance is much better
then that of the autonomous ones. No changes needed.
|
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/978-3-540-45135-8_46 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
humanoid robot,remote control | Computer vision,Remote control,Simulation,Computer science,League,Autonomy,Penalty factor,Artificial intelligence,Robot,Humanoid robot | Conference |
Volume | ISSN | Citations |
2752 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 1 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| thomas christaller | 1 | 350 | 105.69 |