A modular control architecture for safe and robust robot operation and inspection in steep slope vineyards
| dc.contributor.author | Gassen,Eike | |
| dc.contributor.author | Wolf,Patrick | |
| dc.contributor.author | Berns,Karsten | |
| dc.contributor.editor | Demmler, Daniel | |
| dc.contributor.editor | Krupka, Daniel | |
| dc.contributor.editor | Federrath, Hannes | |
| dc.date.accessioned | 2022-09-28T17:10:53Z | |
| dc.date.available | 2022-09-28T17:10:53Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | In fall line cultivation of vineyards, the vines are planted vertically to the hill's slope. Therefore, steep slope vineyards require a high amount of manual labor, doubling production costs. Working in such environments is exhausting and laborious. Therefore, autonomous robots should assist humans in reducing costs and increasing safety. However, current state-of-the-art robotic systems and control architectures are not designed to work in such harsh environments with extreme terrains. Therefore, this work proposes and modular control architecture for safe and robust autonomous working in steep slope environments. Tests in an authentic vineyard near the Moselle river in Germany prove the approach's feasibility and robustness. | en |
| dc.identifier.doi | 10.18420/inf2022_80 | |
| dc.identifier.isbn | 978-3-88579-720-3 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/39587 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | INFORMATIK 2022 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-326 | |
| dc.subject | Off-Road Robotics | |
| dc.subject | Steep Slope | |
| dc.subject | Agricultural Robots | |
| dc.subject | Behavior-Based Control | |
| dc.subject | Control Architectures | |
| dc.title | A modular control architecture for safe and robust robot operation and inspection in steep slope vineyards | en |
| gi.citation.endPage | 959 | |
| gi.citation.startPage | 947 | |
| gi.conference.date | 26.-30. September 2022 | |
| gi.conference.location | Hamburg | |
| gi.conference.sessiontitle | Resilient Smart Farming Lab (RSFLab) |
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