Robust Integration of Planning, Execution, Recovery and Testing to Win the RoboCup Logistics League

David Beikircher, Marco De Bortoli, Leo Fürbaß, Thomas Martin Kernbauer, Peter Kohout, Dominik Lampel, Anna Masiero, Stefan Moser, Martin Nagele, Gerald Steinbauer-Wagner

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

This paper presents the evolution of the software architecture developed by the GRIPS team from Graz University of Technology for the RoboCup Logistics League (RCLL) competition, to the point of winning the 2023 RoboCup Logistics League. The RCLL simulates a flexible production environment, and the team’s software addresses the challenges of automation, planning, and execution in this dynamic setting. The software architecture consists of three main layers: planning and dispatching, mid-level execution, and low-level control. Key features include temporal planning for optimization, Behavior Trees for fine-grained control, and robust recovery strategies. Testing methods encompass real field testing and simulations.
Original languageEnglish
Title of host publicationRoboCup 2023: Robot World Cup XXVI
PublisherSpringer, Cham
Pages362–373
ISBN (Electronic)978-3-031-55015-7
ISBN (Print)978-3-031-55014-0
DOIs
Publication statusE-pub ahead of print - 14 Mar 2024
EventRoboCup International Symposium 2023: RoboCup 2023 - Bordeaux, France
Duration: 4 Jul 202310 Jul 2023

Publication series

NameLecture Notes in Computer Science
VolumeLNAI 14140

Conference

ConferenceRoboCup International Symposium 2023
Country/TerritoryFrance
CityBordeaux
Period4/07/2310/07/23

Fingerprint

Dive into the research topics of 'Robust Integration of Planning, Execution, Recovery and Testing to Win the RoboCup Logistics League'. Together they form a unique fingerprint.

Cite this