Abstract
Adoption of the World Robot Summit (WRS) rules and simulated environments for the RoboCup@Home Leagues in 2021 pose significant challenges for perception, manipulation and autonomy of the robot. Especially, the randomized item placement and longer task time highlight the need for a robust long-term autonomy that can recover from various failure cases. In this paper, we present how we have prepared our software for such challenges, which helped us to get the highest score among all the teams participated in RoboCup@Home 2021.
| Original language | English |
|---|---|
| Title of host publication | RoboCup 2021 |
| Subtitle of host publication | Robot World Cup XXIV |
| Editors | Maya Cakmak, Oliver Obst |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 291-301 |
| Number of pages | 11 |
| ISBN (Print) | 9783030986810 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 24th RoboCup International Symposium, RoboCup 2021 - Virtual, Online Duration: 2021 Jun 22 → 2021 Jun 28 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 13132 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 24th RoboCup International Symposium, RoboCup 2021 |
|---|---|
| City | Virtual, Online |
| Period | 21/6/22 → 21/6/28 |
Bibliographical note
Publisher Copyright:© 2022, Springer Nature Switzerland AG.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
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