TY  - CHAP
A1  - Neumann, Tobias
A1  - Ferrein, Alexander
A1  - Kallweit, Stephan
A1  - Scholl, Ingrid
T1  - Towards a mobile mapping robot for underground mines
T2  - 7th Conference of Robotics and Mechatronics : RobMech 2014 : 27th and 28th Nov. 2014, Cape Town
Y1  - 2014
SP  - 1
EP  - 6
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Lakemeyer, Gerhard
A1  - Ferrein, Alexander
ED  - Finzi, Alberto
T1  - The RoboCup Logistics League as a Benchmark for Planning in Robotics
T2  - Proceedings of the 3rd Workshop on Planning and Robotics (PlanRob-15); Jerusalem, Israel 7-8/6/2015
Y1  - 2015
SP  - 63
EP  - 68
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Neumann, Tobias
A1  - Henke, Christoph
A1  - Schönitz, Sebastian
A1  - Reuter, Sebastian
A1  - Ferrein, Alexander
A1  - Jeschke, Sabina
A1  - Lakemeyer, Gerhard
T1  - Improvements for a robust production in the RoboCup logistics league 2016
T2  - RoboCup 2016: Robot World Cup XX. RoboCup 2016.
Y1  - 2017
SN  - 978-3-319-68792-6
U6  - http://dx.doi.org/10.1007/978-3-319-68792-6_49
SP  - 589
EP  - 600
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Neumann, Tobias
A1  - Henke, Christoph
A1  - Schönitz, Sebastian
A1  - Reuter, Sebastian
A1  - Ferrein, Alexander
A1  - Jeschke, Sabina
A1  - Lakemeyer, Gerhard
T1  - International Harting Open Source Award 2016: Fawkes for the RoboCup Logistics League
T2  - RoboCup 2016: RoboCup 2016: Robot World Cup XX. RoboCup 2016
Y1  - 2017
SN  - 978-3-319-68792-6
U6  - http://dx.doi.org/10.1007/978-3-319-68792-6_53
N1  - Lecture Notes in Computer Science, LNCS, Vol 9776
SP  - 634
EP  - 642
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Reuter, Sebastian
A1  - Ewert, Daniel
A1  - Ferrein, Alexander
A1  - Jeschke, Sabina
A1  - Lakemeyer, Gerhard
T1  - Decisive Factors for the Success of the Carologistics RoboCup Team in the RoboCup Logistics League 2014
T2  - RoboCup 2014: Robot World Cup XVIII
Y1  - 2015
SN  - 978-3-319-18615-3
N1  - Lecture Notes in Computer Science ; 8992
SP  - 155
EP  - 167
PB  - Springer
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Reuter, Sebastian
A1  - Ewert, Daniel
A1  - Ferrein, Alexander
A1  - Jeschke, Sabina
A1  - Lakemeyer, Gerhard
ED  - Almeida, Luis
T1  - The Carologistics Approach to Cope with the Increased Complexity and New Challenges of the RoboCup Logistics League 2015
T2  - RoboCup 2015: Robot World Cup XIX
Y1  - 2016
SN  - 978-3-319-29339-4
U6  - http://dx.doi.org/10.1007/978-3-319-29339-4_4
N1  - Lecture Notes in Computer Science ; 9513
SP  - 47
EP  - 59
PB  - Springer International Publishing
CY  - Cham
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Reuter, Sebastian
A1  - Ferrein, Alexander
ED  - Almeida, Luis
T1  - Fawkes for the RoboCup Logistics League
T2  - RoboCup 2015: Robot World Cup XIX
Y1  - 2016
SN  - 978-3-319-29339-4
U6  - http://dx.doi.org/10.1007/978-3-319-29339-4_31
N1  - Lecture Notes in Computer Science ; 9513
SP  - 365
EP  - 373
PB  - Springer International Publishing
CY  - Cham
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Reuter, Sebastian
A1  - Ferrein, Alexander
A1  - Jeschke, Sabina
A1  - Lakemeyer, Gerhard
ED  - Almeida, Luis
T1  - Evaluation of the RoboCup Logistics League and Derived Criteria for Future Competitions
T2  - RoboCup 2015: Robot World Cup XIX
Y1  - 2016
SN  - 978-3-319-29339-4
U6  - http://dx.doi.org/10.1007/978-3-319-29339-4_3
N1  - Lecture Notes in Computer Science ; 9513
SP  - 31
EP  - 43
PB  - Springer International Publishing
CY  - Cham
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Zwilling, Frederik
A1  - Lakemeyer, Gerhard
A1  - Löbach, Matthias
A1  - Reuter, Sebastian
A1  - Jeschke, Sabina
A1  - Ferrein, Alexander
T1  - Cyber-Physical System Intelligence
T2  - Industrial Internet of Things
N2  - Cyber-physical systems are ever more common in manufacturing industries. Increasing their autonomy has been declared an explicit goal, for example, as part of the Industry 4.0 vision. To achieve this system intelligence, principled and software-driven methods are required to analyze sensing data, make goal-directed decisions, and eventually execute and monitor chosen tasks. In this chapter, we present a number of knowledge-based approaches to these problems and case studies with in-depth evaluation results of several different implementations for groups of autonomous mobile robots performing in-house logistics in a smart factory. We focus on knowledge-based systems because besides providing expressive languages and capable reasoning techniques, they also allow for explaining how a particular sequence of actions came about, for example, in the case of a failure.
KW  - Smart factory
KW  - Industry 4.0
KW  - Multi-robot systems
KW  - Autonomous mobile robots
KW  - RoboCup
Y1  - 2017
SN  - 978-3-319-42559-7
U6  - http://dx.doi.org/10.1007/978-3-319-42559-7_17
N1  - Springer Series in Wireless Technology
SP  - 447
EP  - 472
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Niemüller, Tim
A1  - Ewert, Daniel
A1  - Reuter, Sebastian
A1  - Ferrein, Alexander
A1  - Jeschke, Sabina
A1  - Lakemeyer, Gerhard
T1  - The Carologistics RoboCup Logistics Team 2013
T2  - RoboCup 2013 : Eindhoven
Y1  - 2013
SP  - 1
EP  - 8
ER  - 
TY  - CHAP
A1  - Niemüller, Tim
A1  - Ewert, Daniel
A1  - Reuter, Sebastian
A1  - Ferrein, Alexander
A1  - Jeschke, Sabina
A1  - Lakemeyer, Gerhard
T1  - RoboCup logistics league sponsored by festo: A competitive factory automation testbed
T2  - RoboCup 2013: Robot World Cup XVII :  Eindhoven; Netherlands; 1 July 2013 through 1 July 2013. (Lecture notes in computer science ; 8371)
N2  - A new trend in automation is to deploy so-called cyber-physical systems (CPS) which combine computation with physical processes. The novel RoboCup Logistics League Sponsored by Festo (LLSF) aims at such CPS logistic scenarios in an automation setting. A team of robots has to produce products from a number of semi-finished products which they have to machine during the game. Different production plans are possible and the robots need to recycle scrap byproducts. This way, the LLSF is a very interesting league offering a number of challenging research questions for planning, coordination, or communication in an application-driven scenario. In this paper, we outline the objectives of the LLSF and present steps for developing the league further towards a benchmark for logistics scenarios for CPS. As a major milestone we present the new automated referee system which helps in governing the game play as well as keeping track of the scored points in a very complex factory scenario.
Y1  - 2014
SN  - 978-3-662-44467-2 (Print) 978-3-662-44468-9 (Online)
SP  - 336
EP  - 347
PB  - Springer
CY  - Berlin
ER  - 
TY  - CHAP
A1  - Niemüller, Tim
A1  - Ewert, Daniel
A1  - Reuter, Sebastian
A1  - Karras, Ulrich
A1  - Ferrein, Alexander
T1  - Towards benchmarking cyber-physical systems in factory automation scenarios
T2  - KI 2013: advances in artificial intelligence : 36th Annual German Conference on AI, Koblenz, Germany, September 16-20, 2013 ; proceedings / Ingo J. Timm ... (ed.). (Lecture notes in computer science ; 8077)
Y1  - 2013
SN  - 978-3-642-40941-7
SP  - 296
EP  - 299
PB  - Springer
CY  - Berlin [u.a.]
ER  - 
TY  - JOUR
A1  - Niemüller, Tim
A1  - Ferrein, Alexander
A1  - Beck, Daniel
A1  - Lakemeyer, Gerhard
T1  - Design Principles of the Component-Based Robot Software Framework Fawkes
JF  - Simulation, Modeling, and Programming for Autonomous Robots
Y1  - 2010
N1  - Lecture Notes in Computer Science ; 6472 ; Second International Conference, SIMPAR 2010, Darmstadt, Germany, November 15-18, 2010. Proceedings
SP  - 300
EP  - 311
ER  - 
TY  - JOUR
A1  - Niemüller, Tim
A1  - Ferrein, Alexander
A1  - Eckel, Gerhard
A1  - Pirro, David
A1  - Podbregar, Patrick
A1  - Kellner, Tobias
A1  - Rath, Christoph
A1  - Steinbauer, Gerald
T1  - Providing Ground-truth Data for the Nao Robot Platform
JF  - RoboCup 2010: Robot Soccer World Cup XIV
Y1  - 2011
SN  - 978-3-642-20217-9
N1  - Lecture Notes in Computer Science ; 6556
SP  - 133
EP  - 144
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Niemüller, Tim
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - A Lua-based Behavior Engine for Controlling the Humanoid Robot Nao
JF  - RoboCup 2009: Robot Soccer World Cup XIII
Y1  - 2010
N1  - Lecture Notes in Computer Science ; 5949
SP  - 240
EP  - 251
ER  - 
TY  - CHAP
A1  - Niemüller, Tim
A1  - Lakemeyer, Gerhard
A1  - Ferrein, Alexander
T1  - Aspects of integrating diverse software into robotic systems extended abstract
T2  - ICRA 2013 - 8th Workshop on Software Development and Integration in Robotics (SDIR), Karlsruhe, Germany
Y1  - 2013
SP  - 1
EP  - 2
ER  - 
TY  - CHAP
A1  - Niemüller, Tim
A1  - Lakemeyer, Gerhard
A1  - Ferrein, Alexander
ED  - Boots, Byron
T1  - Incremental task-level reasoning in a competitive factory automation scenario
T2  - Designing intelligent robots : reintegrating AI II ; papers from the AAAI spring symposium ; [held March 25 - 27, 2013 in Palo Alto, California, USA, on the campus of Stanford University]. (Technical Report / Association for the Advancement of Artificial Intelligence ; 2013,4)
Y1  - 2013
SN  - 9781577356011
SP  - 43
EP  - 48
ER  - 
TY  - JOUR
A1  - Niemüller, Tim
A1  - Lakemeyer, Gerhard
A1  - Ferrein, Alexander
A1  - Reuter, S.
A1  - Ewert, D.
A1  - Jeschke, S.
A1  - Pensky, D.
A1  - Karras, Ulrich
T1  - Proposal for advancements to the LLSF in 2014 and beyond
Y1  - 2013
SP  - Publ. online
ER  - 
TY  - CHAP
A1  - Nikolovski, Gjorgji
A1  - Limpert, Nicolas
A1  - Nessau, Hendrik
A1  - Reke, Michael
A1  - Ferrein, Alexander
T1  - Model-predictive control with parallelised optimisation for the navigation of autonomous mining vehicles
T2  - 2023 IEEE Intelligent Vehicles Symposium (IV)
N2  - The work in modern open-pit and underground mines requires the transportation of large amounts of resources between fixed points. The navigation to these fixed points is a repetitive task that can be automated. The challenge in automating the navigation of vehicles commonly used in mines is the systemic properties of such vehicles. Many mining vehicles, such as the one we have used in the research for this paper, use steering systems with an articulated joint bending the vehicle’s drive axis to change its course and a hydraulic drive system to actuate axial drive components or the movements of tippers if available. To address the difficulties of controlling such a vehicle, we present a model-predictive approach for controlling the vehicle. While the control optimisation based on a parallel error minimisation of the predicted state has already been established in the past, we provide insight into the design and implementation of an MPC for an articulated mining vehicle and show the results of real-world experiments in an open-pit mine environment.
KW  - Mpc
KW  - Control
KW  - Path-following
KW  - Navigation
KW  - Automation
Y1  - 2023
SN  - 979-8-3503-4691-6 (Online)
SN  - 979-8-3503-4692-3 (Print)
U6  - http://dx.doi.org/10.1109/IV55152.2023.10186806
N1  - IEEE Symposium on Intelligent Vehicle, 4.-7. June 2023, Anchorage, AK, USA.
PB  - IEEE
ER  - 
TY  - CHAP
A1  - Nikolovski, Gjorgji
A1  - Reke, Michael
A1  - Elsen, Ingo
A1  - Schiffer, Stefan
T1  - Machine learning based 3D object detection for navigation in unstructured environments
T2  - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)
N2  - In this paper we investigate the use of deep neural networks for 3D object detection in uncommon, unstructured environments such as in an open-pit mine. While neural nets are frequently used for object detection in regular autonomous driving applications, more unusual driving scenarios aside street traffic pose additional challenges. For one, the collection of appropriate data sets to train the networks is an issue. For another, testing the performance of trained networks often requires tailored integration with the particular domain as well. While there exist different solutions for these problems in regular autonomous driving, there are only very few approaches that work for special domains just as well. We address both the challenges above in this work. First, we discuss two possible ways of acquiring data for training and evaluation. That is, we evaluate a semi-automated annotation of recorded LIDAR data and we examine synthetic data generation. Using these datasets we train and test different deep neural network for the task of object detection. Second, we propose a possible integration of a ROS2 detector module for an autonomous driving platform. Finally, we present the performance of three state-of-the-art deep neural networks in the domain of 3D object detection on a synthetic dataset and a smaller one containing a characteristic object from an open-pit mine.
KW  - 3D object detection
KW  - LiDAR
KW  - autonomous driving
KW  - Deep learning
KW  - Three-dimensional displays
Y1  - 2021
SN  - 978-1-6654-7921-9
U6  - http://dx.doi.org/10.1109/IVWorkshops54471.2021.9669218
N1  - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 11-17 July 2021,  Nagoya, Japan.
SP  - 236
EP  - 242
PB  - IEEE
ER  -