TY  - CHAP
A1  - Endress, Tim
A1  - Bragard, Michael
T1  - Recording of efficiency-maps of low-power electric drive systems using a flexible matlab-based test bench
T2  - 2017 IEEE 58th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
N2  - This paper introduces a hardware setup to measure efficiency maps of low-power electric motors and their associated inverters. Here, the power of the device under test (DUT) ranges from some Watts to a few hundred Watts. The torque and speed of the DUT are measured independent of voltage and current in multiple load points. A Matlab-based software approach in combination with an open Texas-Instruments (TI) hardware setup ensures flexibility. Exemplarily, the efficiency field of a Permanent Magnet Synchronous Machine (PMSM) is measured to proof the concept. Brushless-DC (BLDC) motors can be tested as well. The nomenclature in this paper is based on the new European standard DIN EN 50598. Special attention is paid to the calculation of the measurement error.
Y1  - 2017
SN  - 978-1-5386-3846-0
U6  - http://dx.doi.org/10.1109/RTUCON.2017.8124775
PB  - IEEE
CY  - New York
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  - JOUR
A1  - Orzada, Stephan
A1  - Bitz, Andreas
A1  - Johst, Sören
A1  - Gratz, Marcel
A1  - Völker, Maximilian N.
A1  - Kraff, Oliver
A1  - Abuelhaija, Ashraf
A1  - Fiedler, Thomas M.
A1  - Solbach, Klaus
A1  - Quick, Harald H.
A1  - Ladd, Mark E.
T1  - Analysis of an integrated 8-Channel Tx/Rx body array for use as a body coil in 7-Tesla MRI
JF  - Frontiers in Physics
Y1  - 2017
U6  - http://dx.doi.org/10.3389/fphy.2017.00017
SN  - 2296-424X
N1  - Article number 17
VL  - 5
IS  - Jun
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  - JOUR
A1  - Ferrein, Alexander
A1  - Steinbauer, Gerald
T1  - The Interplay of Aldebaran and RoboCup
JF  - KI - Künstliche Intelligenz
Y1  - 2016
U6  - http://dx.doi.org/10.1007/s13218-016-0440-1
SN  - 1610-1987
VL  - 30
IS  - 3-4
SP  - 325
EP  - 326
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Steinbauer, Gerald
A1  - Ferrein, Alexander
T1  - 20 Years of RoboCup
JF  - KI - Künstliche Intelligenz
Y1  - 2016
U6  - http://dx.doi.org/10.1007/s13218-016-0442-z
SN  - 1610-1987
VL  - 30
IS  - 3-4
SP  - 221
EP  - 224
PB  - Springer
CY  - Berlin
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  - 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  - Stopforth, Riaan
A1  - Davrajh, Shaniel
A1  - Ferrein, Alexander
T1  - South African robotics entity for a collaboration initiative
T2  - Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016
Y1  - 2017
SN  - 978-1-5090-3335-5
U6  - http://dx.doi.org/10.1109/RoboMech.2016.7813144
N1  - PRASA-RobMech, Nov. 30 2016-Dec. 2 2016, Stellenbosch, South Africa
SP  - 1
EP  - 6
PB  - IEEE
ER  - 
TY  - JOUR
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
T1  - Decision-Theoretic Planning with Fuzzy Notions in GOLOG
JF  - International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
N2  - In this paper we present an extension of the action language Golog that allows for using fuzzy notions in non-deterministic argument choices and the reward function in decision-theoretic planning. Often, in decision-theoretic planning, it is cumbersome to specify the set of values to pick from in the non-deterministic-choice-of-argument statement. Also, even for domain experts, it is not always easy to specify a reward function. Instead of providing a finite domain for values in the non-deterministic-choice-of-argument statement in Golog, we now allow for stating the argument domain by simply providing a formula over linguistic terms and fuzzy uents. In Golog’s forward-search DT planning algorithm, these formulas are evaluated in order to find the agent’s optimal policy. We illustrate this in the Diner Domain where the agent needs to calculate the optimal serving order.
Y1  - 2016
U6  - http://dx.doi.org/10.1142/S0218488516400134
SN  - 1793-6411
VL  - 24
IS  - Issue Suppl. 2
SP  - 123
EP  - 143
PB  - World Scientific
CY  - Singapur
ER  -