TY  - CHAP
A1  - Kirsch, Maximilian
A1  - Mataré, Victor
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
T1  - Integrating golog++ and ROS for Practical and Portable High-level Control
T2  - 12th International Conference on Agents and Artificial Intelligence
Y1  - 2020
U6  - http://dx.doi.org/10.5220/0008984406920699
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  - Krückel, Kai
A1  - Nolden, Florian
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - Intuitive visual teleoperation for UGVs using free-look augmented reality displays
T2  - 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA
Y1  - 2015
U6  - http://dx.doi.org/10.1109/ICRA.2015.7139809
SP  - 4412
EP  - 4417
ER  - 
TY  - CHAP
A1  - Wiesen, Patrick
A1  - Engemann, Heiko
A1  - Limpert, Nicolas
A1  - Kallweit, Stephan
T1  - Learning by Doing - Mobile Robotics in the FH Aachen ROS Summer School
T2  - European Robotics Forum 2018, TRROS18 Workshop
Y1  - 2018
SP  - 47
EP  - 58
ER  - 
TY  - JOUR
A1  - Ferrein, Alexander
A1  - Steinbauer, Gerald
T1  - Looking back on 20 Years of RoboCup
JF  - KI - Künstliche Intelligenz
Y1  - 2016
U6  - http://dx.doi.org/10.1007/s13218-016-0443-y
SN  - 1610-1987
VL  - 30
IS  - 3-4
SP  - 321
EP  - 323
PB  - Springer
CY  - Berlin
ER  - 
TY  - CHAP
A1  - Scholl, Ingrid
A1  - Bartella, Alex
A1  - Moluluo, Cem
A1  - Ertural, Berat
A1  - Laing, Frederic
A1  - Suder, Sebastian
T1  - MedicVR : Acceleration and Enhancement Techniques for Direct Volume Rendering in Virtual Reality
T2  - Bildverarbeitung für die Medizin 2019 : Algorithmen – Systeme – Anwendungen
Y1  - 2019
SN  - 978-3-658-25326-4
U6  - http://dx.doi.org/10.1007/978-3-658-25326-4_32
SP  - 152
EP  - 157
PB  - Springer Vieweg
CY  - Wiesbaden
ER  - 
TY  - JOUR
A1  - Niemueller, Tim
A1  - Karras, Ulrich
A1  - Ferrein, Alexander
T1  - Meisterschaft der Maschinen: Die Industrial Logistic Liga
JF  - C´t Magazin für Computertechnik
Y1  - 2017
IS  - 26
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  - JOUR
A1  - Engemann, Heiko
A1  - Du, Shengzhi
A1  - Kallweit, Stephan
A1  - Cönen, Patrick
A1  - Dawar, Harshal
T1  - OMNIVIL - an autonomous mobile manipulator for flexible production
JF  - Sensors
Y1  - 2020
SN  - 1424-8220
U6  - http://dx.doi.org/10.3390/s20247249
N1  - Special issue: Sensor Networks Applications in Robotics and Mobile Systems
VL  - 20
IS  - 24, art. no. 7249
SP  - 1
EP  - 30
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - Braun, Sebastian
A1  - Cheng, Chi-Tsun
A1  - Dowey, Steve
A1  - Wollert, Jörg
T1  - Performance evaluation of skill-based order-assignment in production environments with multi-agent systems
JF  - IEEE Journal of Emerging and Selected Topics in Industrial Electronics
N2  - The fourth industrial revolution introduces disruptive technologies to production environments. One of these technologies are multi-agent systems (MASs), where agents virtualize machines. However, the agent's actual performances in production environments can hardly be estimated as most research has been focusing on isolated projects and specific scenarios. We address this gap by implementing a highly connected and configurable reference model with quantifiable key performance indicators (KPIs) for production scheduling and routing in single-piece workflows. Furthermore, we propose an algorithm to optimize the search of extrema in highly connected distributed systems. The benefits, limits, and drawbacks of MASs and their performances are evaluated extensively by event-based simulations against the introduced model, which acts as a benchmark. Even though the performance of the proposed MAS is, on average, slightly lower than the reference system, the increased flexibility allows it to find new solutions and deliver improved factory-planning outcomes. Our MAS shows an emerging behavior by using flexible production techniques to correct errors and compensate for bottlenecks. This increased flexibility offers substantial improvement potential. The general model in this paper allows the transfer of the results to estimate real systems or other models.
KW  - cyber-physical production systems
KW  - event-based simulation
KW  - multi-agent systems
KW  - digital factory
KW  - industrial agents
Y1  - 2021
U6  - http://dx.doi.org/10.1109/JESTIE.2021.3108524
SN  - 2687-9735
IS  - Early Access
PB  - IEEE
CY  - New York
ER  -