TY  - CHAP
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - Fuzzy representations and control for domestic service robots in Golog
T2  - Intelligent robotics and applications : 4th International conference, ICIRA 2011, Aachen, Germany, December 6-8, 2011, proceedings, part I. (Lecture notes in computer science ; 7102)
Y1  - 2011
SN  - 978-3-642-25486-4
SP  - 241
EP  - 250
ER  - 
TY  - CHAP
A1  - Mataré, Victor
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
ED  - Steinbauer, Gerald
ED  - Ferrein, Alexander
T1  - golog++ : An integrative system design
T2  - CogRob 2018. Cognitive Robotics Workshop : Proceedings of the 11th Cognitive Robotics Workshop 2018 co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018) Tempe, AZ, USA, October 27th, 2018
Y1  - 2019
SN  - 1613-0073
SP  - 29
EP  - 35
ER  - 
TY  - JOUR
A1  - Ferrein, Alexander
T1  - golog.lua: Towards a Non-Prolog Implementation of Golog for Embedded Systems
Y1  - 2010
SP  - 20
EP  - 28
ER  - 
TY  - JOUR
A1  - Ferrein, Alexander
T1  - golog.lua: Towards a Non-Prolog Implementation of Golog for Embedded Systems
JF  - Cognitive Robotics / Lakemeyer, Gerhard (ed.)
Y1  - 2010
N1  - Dagstuhl Seminar Proceedings ; 10081
SP  - 1
EP  - 15
ER  - 
TY  - CHAP
A1  - Chajan, Eduard
A1  - Schulte-Tigges, Joschua
A1  - Reke, Michael
A1  - Ferrein, Alexander
A1  - Matheis, Dominik
A1  - Walter, Thomas
T1  - GPU based model-predictive path control for self-driving vehicles
T2  - IEEE Intelligent Vehicles Symposium (IV)
N2  - One central challenge for self-driving cars is a proper path-planning. Once a trajectory has been found, the next challenge is to accurately and safely follow the precalculated path. The model-predictive controller (MPC) is a common approach for the lateral control of autonomous vehicles. The MPC uses a vehicle dynamics model to predict the future states of the vehicle for a given prediction horizon. However, in order to achieve real-time path control, the computational load is usually large, which leads to short prediction horizons. To deal with the computational load, the control algorithm can be parallelized on the graphics processing unit (GPU). In contrast to the widely used stochastic methods, in this paper we propose a deterministic approach based on grid search. Our approach focuses on systematically discovering the search area with different levels of granularity. To achieve this, we split the optimization algorithm into multiple iterations. The best sequence of each iteration is then used as an initial solution to the next iteration. The granularity increases, resulting in smooth and predictable steering angle sequences. We present a novel GPU-based algorithm and show its accuracy and realtime abilities with a number of real-world experiments.
KW  - Heuristic algorithms
KW  - Computational modeling
KW  - model-predictive control
KW  - GPU
KW  - autonomous driving
Y1  - 2021
SN  - 978-1-7281-5394-0
U6  - http://dx.doi.org/10.1109/IV48863.2021.9575619
N1  - 2021 IEEE Intelligent Vehicles Symposium (IV)
July 11-17, 2021. Nagoya, Japan
SP  - 1243
EP  - 1248
PB  - IEEE
ER  - 
TY  - BOOK
A1  - Ferrein, Alexander
A1  - Pauli, J.
A1  - Siebel, N. T.
A1  - Steinbauer, Gerald
T1  - Hybrid control for autonomous systems : [... 1st Workshop on Hybrid Control of Autonomous Systems - Integrating Learning, Deliberation and Reactive Control with the 21st International Joint Conference on Artificial Intelligence (IJCAI-09), held in Pasadena, CA, in July 2009] / ed. by Alexander Ferrein ...
Y1  - 2009
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  - 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  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Gebhardt, Andreas
A1  - Kallweit, Stephan
A1  - Scholl, Ingrid
A1  - Tedjasukmana, Osmond Sanjaya
T1  - Improving additive manufacturing by image processing and robotic milling
T2  - 2015 IEEE International Conference on Automation Science and Engineering (CASE), Aug 24-28, 2015 Gothenburg, Sweden
Y1  - 2015
U6  - http://dx.doi.org/10.1109/CoASE.2015.7294217
SP  - 924
EP  - 929
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  - 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  - JOUR
A1  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - IR stereo kinect: improving depth images by combining structured light with IR stereo
Y1  - 2014
SP  - 1
EP  - 9
ER  - 
TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - IR stereo kinect: improving depth images by combining structured light with IR stereo
T2  - PRICAI 2014: Trends in artificial intelligence : 13th Pacific Rim International Conference on Artificial Intelligence : Gold Coast, QLD, Australia, December 1-5, 2014 : proceedings. (Lecture notes in computer science ; vol. 8862)
N2  - RGB-D sensors such as the Microsoft Kinect or the Asus Xtion are inexpensive 3D sensors. A depth image is computed by calculating the distortion of a known infrared light (IR) pattern which is projected into the scene. While these sensors are great devices they have some limitations. The distance they can measure is limited and they suffer from reflection problems on transparent, shiny, or very matte and absorbing objects. If more than one RGB-D camera is used the IR patterns interfere with each other. This results in a massive loss of depth information. In this paper, we present a simple and powerful method to overcome these problems. We propose a stereo RGB-D camera system which uses the pros of RGB-D cameras and combine them with the pros of stereo camera systems. The idea is to utilize the IR images of each two sensors as a stereo pair to generate a depth map. The IR patterns emitted by IR projectors are exploited here to enhance the dense stereo matching even if the observed objects or surfaces are texture-less or transparent. The resulting disparity map is then fused with the depth map offered by the RGB-D sensor to fill the regions and the holes that appear because of interference, or due to transparent or reflective objects. Our results show that the density of depth information is increased especially for transparent, shiny or matte objects.
Y1  - 2014
SN  - 978-3-319-13559-5 (Print) ; 978-3-319-13560-1 (E-Book)
U6  - http://dx.doi.org/10.1007/978-3-319-13560-1_33
SP  - 409
EP  - 421
PB  - Springer
CY  - München
ER  - 
TY  - JOUR
A1  - Ferrein, Alexander
A1  - Beck, Daniel
A1  - Lakemeyer, Gerhard
T1  - Landmark-Based Representations for Navigating Holonomic Soccer Robots / Beck, Daniel ; Ferrein, Alexander ; Lakemeyer, Gerhard
JF  - RoboCup 2008 : robot soccer world cup XII / Luca Iocchi ... (eds.)
Y1  - 2009
SN  - 978-3-642-02921-9
N1  - Lecture Notes in Computer Science ; 5399
SP  - 25
EP  - 36
PB  - Springer
CY  - Heidelberg
ER  - 
TY  - JOUR
A1  - Ferrein, Alexander
A1  - Strack, Andreas
A1  - Lakemeyer, Gerhard
T1  - Laser-Based Localization with Sparse Landmarks  / Strack, Andreas ; Ferrein, Alexander ; Lakemeyer, Gerhard
JF  - RoboCup 2005: Robot Soccer World Cup IX
Y1  - 2006
SN  - 978-3-540-35437-6
N1  - Lecture Notes in Computer Science ; 4020
SP  - 569
EP  - 576
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Ferrein, Alexander
A1  - Konur, Savas
A1  - Lakemeyer, Gerhard
T1  - Learning Decision Trees for Action Selection in Soccer Agents / Konur, Savas ; Ferrein, Alexander ; Lakemeyer, Gerhard
Y1  - 2004
N1  - Proceedings of Workshop on Agents in dynamic and real-time environments
SP  - 1
EP  - 7
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Kallweit, Stephan
A1  - Scholl, Ingrid
A1  - Reichert, Walter
T1  - Learning to Program Mobile Robots in the ROS Summer School Series
T2  - Proceedings 6th International Conference on Robotics in Education (RiE 15)
N2  - The main objective of our ROS Summer School series is to introduce MA level students to program mobile robots with the Robot Operating System (ROS). ROS is a robot middleware that is used my many research institutions world-wide. Therefore, many state-of-the-art algorithms of mobile robotics are available in ROS and can be deployed very easily. As a basic robot platform we deploy a 1/10 RC cart that is wquipped with an Arduino micro-controller to control the servo motors, and an embedded PC that runs ROS. In two weeks, participants get to learn the basics of mobile robotics hands-on. We describe our teaching concepts and our curriculum and report on the learning success of our students.
Y1  - 2015
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Niemüller, Tim
A1  - Schiffer, Stefan
A1  - Lakemeyer, Gerhard
ED  - Boots, Byron
T1  - Lessons learnt from developing the embodied AI platform CAESAR for domestic service robotics
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  - 21
EP  - 26
ER  -