Name
Abstract | ||
|---|---|---|
Over the past few years, the Humanoid League rules have changed towards more realistic and challenging game environments, which encourage teams to advance their robot soccer performances. In this paper, we present the software and hardware designs that led our team NimbRo to win the competitions in the AdultSize league -- including the soccer tournament, the drop-in games, and the technical challenges at RoboCup 2018 in Montreal. Altogether, this resulted in NimbRo winning the Best Humanoid Award. In particular, we describe our deep-learning approaches for visual perception and our new fully 3D printed robot NimbRo-OP2X. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-27544-0_36 | RoboCup |
Field | DocType | Citations |
Tournament,Simulation,Computer science,League,Software,Human–computer interaction,Robot,Visual perception | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hafez Farazi | 1 | 10 | 5.86 |
| Grzegorz Ficht | 2 | 2 | 4.50 |
| Philipp Allgeuer | 3 | 21 | 7.85 |
| Dmytro Pavlichenko | 4 | 10 | 5.76 |
| Rodriguez, D. | 5 | 8 | 6.68 |
| André Brandenburger | 6 | 0 | 1.35 |
| Mojtaba Hosseini | 7 | 0 | 0.68 |
| Sven Behnke | 8 | 1672 | 181.84 |