Publications
Papers and theses from the team
The competition doubles as a research platform. The papers below come out of the team’s work on planning, execution monitoring, goal reasoning, perception and multi-robot coordination, and include the champion papers written after each world title.
Team members are shown in bold.
43 publications, 2009–2026.
2026
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WorkBenchMark: A LEGO-Based Assembly Benchmark with an Assembly-by-Disassembly Baseline for the Smart Manufacturing League
Oral presentation, Incheon.
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Making Robots Play by the Rules: The ROS 2 CLIPS-Executive
2025
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From Production Logistics to Smart Manufacturing: The Vision for a New RoboCup Industrial League
The league's own account of the RCLL-to-SML transition.
2024
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A ROS 2-Based Navigation and Simulation Stack for the Robotino
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Using Off-the-Shelf Deep Neural Networks for Position-Based Visual Servoing
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A Light-Weighted Event-Based Simulation for the RoboCup Logistics League
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Planning and Execution for Mobile Robots Using Distributed Persistent Memory
2023
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Towards Bridging the Gap Between High-Level Reasoning and Execution on Robots
2022
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Winning the RoboCup Logistics League with Visual Servoing and Centralized Goal Reasoning
Champion paper for the 2022 title.
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Towards Using Promises for Multi-Agent Cooperation in Goal Reasoning
2021
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Multi-Agent Goal Reasoning with the CLIPS Executive in the RoboCup Logistics League
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Transforming Robotic Plans with Timed Automata to Solve Temporal Platform Constraints
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Portable High-Level Agent Programming with golog++
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Using Platform Models for a Guided Explanatory Diagnosis Generation for Mobile Robots
2020
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Macro Operator Synthesis for ADL Domains
2019
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Winning the RoboCup Logistics League with Fast Navigation, Precise Manipulation, and Robust Goal Reasoning
Champion paper for the 2019 title.
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Goal Reasoning in the CLIPS Executive for Integrated Planning and Execution
The CLIPS Executive the team's agents still build on.
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Integrated Synthesis and Execution of Optimal Plans for Multi-Robot Systems in Logistics
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RoboCup 2019: Robot World Cup XXIII
Proceedings volume, as editor.
2018
2017
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Enhancing Software and Hardware Reliability for a Successful Participation in the RoboCup Logistics League 2017
Champion paper for the 2017 title.
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Initial Results on Generating Macro Actions from a Plan Database for Planning on Autonomous Mobile Robots
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On the Synthesis of Guaranteed-Quality Plans for Robot Fleets in Logistics Scenarios via Optimization Modulo Theories
2016
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Improvements for a Robust Production in the RoboCup Logistics League 2016
Champion paper for the 2016 title.
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International Harting Open Source Award 2016: Fawkes for the RoboCup Logistics League
The open-source award submission for the full stack release.
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Robust Multi-modal Detection of Industrial Signal Light Towers
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An Integration Challenge to Bridge the Gap Among Industry-Inspired RoboCup Leagues
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Knowledge-Based Instrumentation and Control for Competitive Industry-Inspired Robotic Domains
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Continual Planning in Golog
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Interruptible Task Execution with Resumption in Golog
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Controlling Logistics Robots with the Action-Based Language YAGI
2015
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The Carologistics Approach to Cope with the Increased Complexity and New Challenges of the RoboCup Logistics League 2015
Champion paper for the 2015 title.
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Fawkes for the RoboCup Logistics League
The reference to cite when using the released software stack.
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Evaluation of the RoboCup Logistics League and Derived Criteria for Future Competitions
2014
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Decisive Factors for the Success of the Carologistics RoboCup Team in the RoboCup Logistics League 2014
Champion paper for the team's first world title.
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Simulation for the RoboCup Logistics League with Real-World Environment Agency and Multi-level Abstraction
2013
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RoboCup Logistics League Sponsored by Festo: A Competitive Factory Automation Testbed
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Towards Benchmarking Cyber-Physical Systems in Factory Automation Scenarios
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Incremental Task-Level Reasoning in a Competitive Factory Automation Scenario
2010
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Design Principles of the Component-Based Robot Software Framework Fawkes
The framework the team competed on for a decade.
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Providing Ground-Truth Data for the Nao Robot Platform
2009
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A Lua-Based Behavior Engine for Controlling the Humanoid Robot Nao
The Behavior Engine still referenced by the team's stack.
Citing our work
For the ROS 2 CLIPS Executive, cite Making Robots Play by the Rules (Viehmann et al., ICAART 2026). For the assembly benchmark, cite WorkBenchMark . For the older Fawkes stack, cite Fawkes for the RoboCup Logistics League (Niemueller, Reuter, Ferrein; RoboCup Symposium 2015).