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  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
A1  - Schiffer, Stefan
T1  - AllemaniACs@ home 2006 team description
Y1  - 2006
SP  - 1
EP  - 6
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
A1  - Kallweit, Stephan
T1  - The ROSIN Education Concept - Fostering ROS Industrial-Related Robotics Education in Europe
T2  - ROBOT 2017: Third Iberian Robotics Conference
Y1  - 2018
SN  - 978-3-319-70836-2
U6  - https://doi.org/10.1007/978-3-319-70836-2_31
N1  - Advances in Intelligent Systems and Computing, vol 694;
(AISC, volume 694)
SP  - 370
EP  - 381
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Reke, Michael
A1  - Peter, Daniel
A1  - Schulte-Tigges, Joschua
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Walter, Thomas
A1  - Matheis, Dominik
T1  - A Self-Driving Car Architecture in ROS2
T2  - 2020 International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa
N2  - In this paper we report on an architecture for a self-driving car that is based on ROS2. Self-driving cars have to take decisions based on their sensory input in real-time, providing high reliability with a strong demand in functional safety. In principle, self-driving cars are robots. However, typical robot software, in general, and the previous version of the Robot Operating System (ROS), in particular, does not always meet these requirements. With the successor ROS2 the situation has changed and it might be considered as a solution for automated and autonomous driving. Existing robotic software based on ROS was not ready for safety critical applications like self-driving cars. We propose an architecture for using ROS2 for a self-driving car that enables safe and reliable real-time behaviour, but keeping the advantages of ROS such as a distributed architecture and standardised message types. First experiments with an automated real passenger car at lower and higher speed-levels show that our approach seems feasible for autonomous driving under the necessary real-time conditions.
Y1  - 2020
SN  - 978-1-7281-4162-6
U6  - https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041020
N1  - 2020 International SAUPEC/RobMech/PRASA Conference, 29-31 Jan. 2020, Cape Town, South Africa
SP  - 1
EP  - 6
PB  - IEEE
CY  - New York, NY
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  - JOUR
A1  - Ferrein, Alexander
A1  - Siebel, Nils T.
A1  - Steinbauer, Gerald
T1  - Hybrid control for autonomous systems — Integrating learning, deliberation and reactive control
JF  - Robotics and Autonomous Systems
Y1  - 2010
SN  - 0921-8890
VL  - 58
IS  - 9
SP  - 1037
EP  - 1038
ER  - 
TY  - JOUR
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - Reasoning with Qualitative Positional Information for Domestic Domains in the Situation Calculus
JF  - Journal of Intelligent & Robotic Systems
Y1  - 2011
SN  - 0921-0296
VL  - 63
IS  - 2
SP  - 273
EP  - 300
PB  - Springer
CY  - Berlin
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  - https://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  - 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  - https://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  - 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  - https://doi.org/10.1109/ICRA.2015.7139809
SP  - 4412
EP  - 4417
ER  -