TY  - CHAP
A1  - Engemann, Heiko
A1  - Wiesen, Patrick
A1  - Kallweit, Stephan
A1  - Deshpande, Harshavardhan
A1  - Schleupen, Josef
T1  - Autonomous mobile manipulation using ROS
T2  - Advances in Service and Industrial Robotics
Y1  - 2018
SN  - 978-3-319-61276-8
U6  - https://doi.org/10.1007/978-3-319-61276-8_43
N1  - International Conference on Robotics in Alpe-Adria Danube Region RAAD 2017;
Mechanisms and Machince Science book series, Vol 49.
SP  - 389
EP  - 401
PB  - Springer
CY  - Cham
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  - 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  - https://doi.org/10.1007/978-3-658-25326-4_32
SP  - 152
EP  - 157
PB  - Springer Vieweg
CY  - Wiesbaden
ER  - 
TY  - CHAP
A1  - Hofmann, Till
A1  - Limpert, Nicolas
A1  - Mataré, Victor
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - Winning the RoboCup Logistics League with Fast Navigation, Precise Manipulation, and Robust Goal Reasoning
T2  - RoboCup 2019: Robot World Cup XXIII. RoboCup
Y1  - 2019
SN  - 978-3-030-35699-6
U6  - https://doi.org/10.1007/978-3-030-35699-6_41
N1  - Lecture Notes in Computer Science, vol 11531
SP  - 504
EP  - 516
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - An Efficient Hashing Algorithm for NN Problem in HD Spaces
T2  - Lecture Notes in Computer Science
Y1  - 2019
SN  - 978-303005498-4
U6  - https://doi.org/10.1007/978-3-030-05499-1_6
N1  - 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018; Funchal; Portugal; 16 January 2018 through 18 January 2018; Code 222779
SP  - 101
EP  - 115
ER  - 
TY  - CHAP
A1  - Steinbauer, Gerald
A1  - Ferrein, Alexander
T1  - 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.
T2  - CEUR workshop proceedings
Y1  - 2019
SN  - 1613-0073
N1  - edited by Gerald Steinbauer, Alexander Ferrein
IS  - Vol-2325
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Bharatheesha, Mukunda
A1  - Schiffer, Stefan
A1  - Corbato, Carlos Hernandez
T1  - TRROS 2018 :  Teaching Robotics with ROS Workshop at ERF 2018;  Proceedings of the Workshop on Teaching Robotics with ROS (held at ERF 2018), co-located with European Robotics Forum 2018 (ERF 2018), Tampere, Finland, March 15th, 2018
T2  - CEUR Workshop Proceedings
Y1  - 2019
SN  - 1613-0073
IS  - Vol-2329
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
A1  - Neumann, Tobias
A1  - Krückel, Kai
A1  - Schiffer, Stefan
T1  - A system for continuous underground site mapping and exploration
Y1  - 2019
U6  - https://doi.org/10.5772/intechopen.85859
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  - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2
N2  - The field of Cognitive Robotics aims at intelligent decision making of autonomous robots. It has matured over the last 25 or so years quite a bit. That is, a number of high-level control languages and architectures have emerged from the field. One concern in this regard is the action language GOLOG. GOLOG has been used in a rather large number of applications as a high-level control language ranging from intelligent service robots to soccer robots. For the lower level robot software, the Robot Operating System (ROS) has been around for more than a decade now and it has developed into the standard middleware for robot applications. ROS provides a large number of packages for standard tasks in robotics like localisation, navigation, and object recognition. Interestingly enough, only little work within ROS has gone into the high-level control of robots. In this paper, we describe our approach to marry the GOLOG action language with ROS. In particular, we present our architecture on inte grating golog++, which is based on the GOLOG dialect Readylog, with the Robot Operating System. With an example application on the Pepper service robot, we show how primitive actions can be easily mapped to the ROS ActionLib framework and present our control architecture in detail.
Y1  - 2020
U6  - https://doi.org/10.5220/0008984406920699
N1  - Proceedings of the 12th International Conference on Agents and Artificial Intelligence: ICAART 2020, Valletta, Malta
SP  - 692
EP  - 699
PB  - SciTePress
CY  - Setúbal, Portugal
ER  - 
TY  - CHAP
A1  - Ulmer, Jessica
A1  - Braun, Sebastian
A1  - Cheng, Chi-Tsun
A1  - Dowey, Steve
A1  - Wollert, Jörg
T1  - Gamified Virtual Reality Training Environment for the Manufacturing Industry
T2  - Proceedings of the 2020 19th International Conference on Mechatronics
– Mechatronika (ME)
N2  - Industry 4.0 imposes many challenges for manufacturing companies and their employees. Innovative and effective training strategies are required to cope with fast-changing production environments and new manufacturing technologies. Virtual Reality (VR) offers new ways of on-the-job, on-demand, and off-premise training. A novel concept and evaluation system combining Gamification and VR practice for flexible assembly tasks is proposed in this paper and compared to existing works. It is based on directed acyclic graphs and a leveling system. The concept enables a learning speed which is adjustable to the users’ pace and dynamics, while the evaluation system facilitates adaptive work sequences and allows employee-specific task fulfillment. The concept was implemented and analyzed in the Industry 4.0 model factory at FH Aachen for mechanical assembly jobs.
Y1  - 2020
U6  - https://doi.org/10.1109/ME49197.2020.9286661
N1  - 2020 19th International Conference on Mechatronics – Mechatronika (ME), Prague, Czech Republic, December 2–4, 2020
SP  - 1
EP  - 6
PB  - IEEE
CY  - New York, NY
ER  -