TY  - CHAP
A1  - Walenta, Robert
A1  - Schellekens, Twan
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
T1  - A decentralised system approach for controlling AGVs with ROS
T2  - AFRICON, Proceedings
Y1  - 2017
SN  - 978-1-5386-2775-4
U6  - http://dx.doi.org/10.1109/AFRCON.2017.8095693
SN  - 2153-0033
N1  - AFRICON <2017, 18-20 Sept., Cape Town, South Africa>
SP  - 1436
EP  - 1441
PB  - IEEE
ER  - 
TY  - JOUR
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
A1  - Lakemeyer, Gerhard
T1  - A Fuzzy Set Semantics for Qualitative Fluents in the Situation Calculus / Ferrein, Alexander ; Schiffer, Stefan ; Lakemeyer, Gerhard
JF  - Intelligent Robotics and Applications : First International Conference, ICIRA 2008 Wuhan, China, October 15-17, 2008 Proceedings, Part I
Y1  - 2008
N1  - Lecture Notes in Computer Science ; 5314
SP  - 498
EP  - 509
PB  - Springer
CY  - Berlin
ER  - 
TY  - CHAP
A1  - Limpert, Nicolas
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
T1  - A Local Planner for Ackermann-Driven Vehicles in ROS SBPL
T2  - Proceedings of the International Conference on Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech), 2015
Y1  - 2015
U6  - http://dx.doi.org/10.1109/RoboMech.2015.7359518
SP  - 172
EP  - 177
ER  - 
TY  - CHAP
A1  - Neumann, Tobias
A1  - Dülberg, Enno
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
T1  - A rotating platform for swift acquisition of dense 3D point clouds
T2  - Intelligent Robotics and Applications: 9th International Conference, ICIRA 2016, Tokyo, Japan, August 22-24, 2016, Proceedings, Part I
Y1  - 2016
SN  - 978-3-319-43505-3 (Print)
SN  - 978-3-319-43506-0 (Online)
U6  - http://dx.doi.org/10.1007/978-3-319-43506-0_22
N1  - Series: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
VL  - 9834
SP  - 257
EP  - 268
PB  - Springer
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
Y1  - 2020
SN  - 978-1-7281-4162-6
U6  - http://dx.doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041020
SP  - 1
EP  - 6
ER  - 
TY  - CHAP
A1  - Eltester, Niklas Sebastian
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
T1  - A smart factory setup based on the RoboCup logistics league
T2  - 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)
N2  - In this paper we present SMART-FACTORY, a setup for a research and teaching facility in industrial robotics that is based on the RoboCup Logistics League. It is driven by the need for developing and applying solutions for digital production. Digitization receives constantly increasing attention in many areas, especially in industry. The common theme is to make things smart by using intelligent computer technology. Especially in the last decade there have been many attempts to improve existing processes in factories, for example, in production logistics, also with deploying cyber-physical systems. An initiative that explores challenges and opportunities for robots in such a setting is the RoboCup Logistics League. Since its foundation in 2012 it is an international effort for research and education in an intra-warehouse logistics scenario. During seven years of competition a lot of knowledge and experience regarding autonomous robots was gained. This knowledge and experience shall provide the basis for further research in challenges of future production. The focus of our SMART-FACTORY is to create a stimulating environment for research on logistics robotics, for teaching activities in computer science and electrical engineering programmes as well as for industrial users to study and explore the feasibility of future technologies. Building on a very successful history in the RoboCup Logistics League we aim to provide stakeholders with a dedicated facility oriented at their individual needs.
Y1  - 2020
U6  - http://dx.doi.org/10.1109/ICPS48405.2020.9274766
N1  - 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS), 10-12 June 2020, Tampere, Finland.
SP  - 297
EP  - 302
PB  - IEEE
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  - http://dx.doi.org/10.5772/intechopen.85859
ER  - 
TY  - CHAP
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
T1  - A System Layout for Cognitive Service Robots
T2  - Cognitive Robot Architectures. Proceedings of EUCognition 2016
Y1  - 2017
SN  - 1613-0073
N1  - CEUR-WS Vol-1855
SP  - 44
EP  - 45
ER  - 
TY  - JOUR
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - Abstracting Away Low-Level Details in Service Robotics with Fuzzy Fluents
JF  - Model-Driven Knowledge Engineering for Improved Software Modularity in Robotics and Automation.
Workshop at European Robotics Forum 2015
Vienna, Austria, March 11-13, 2015.
Y1  - 2015
SP  - 1
EP  - 4
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  - Alhwarin, Faraj
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - An Optimized Method for 3D Body Scanning Applications Based on KinectFusion
T2  - Communications in Computer and Information Science
Y1  - 2019
U6  - http://dx.doi.org/10.1007/978-3-030-29196-9_6
SN  - 1865-0929
N1  - 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018; Funchal; Portugal; 19 January 2018 through 21 January 2018
VL  - 1024
SP  - 100
EP  - 113
PB  - Springer
ER  - 
TY  - CHAP
A1  - Arndt, Tobias
A1  - Conzen, Max
A1  - Elsen, Ingo
A1  - Ferrein, Alexander
A1  - Galla, Oskar
A1  - Köse, Hakan
A1  - Schiffer, Stefan
A1  - Tschesche, Matteo
T1  - Anomaly detection in the metal-textile industry for the reduction of the cognitive load of quality control workers
T2  - PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments
N2  - This paper presents an approach for reducing the cognitive load for humans working in quality control (QC) for production processes that adhere to the 6σ -methodology. While 100% QC requires every part to be inspected, this task can be reduced when a human-in-the-loop QC process gets supported by an anomaly detection system that only presents those parts for manual inspection that have a significant likelihood of being defective. This approach shows good results when applied to image-based QC for metal textile products.
KW  - Datasets
KW  - Neural networks
KW  - Anomaly detection
KW  - Quality control
KW  - Process optimization
Y1  - 2023
SN  - 9798400700699
U6  - http://dx.doi.org/10.1145/3594806.3596558
N1  - PETRA '23: Proceedings of the 16th International Conference on Pervasive Technologies Related to Assistive Environments, Corfu Greece, July 5 - 7, 2023.
SP  - 535
EP  - 542
PB  - ACM
ER  - 
TY  - JOUR
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - Caesar: an intelligent domestic service robot
JF  - Intelligent service robotics
N2  - In this paper we present CAESAR, an intelligent domestic service robot. In domestic settings for service robots complex tasks have to be accomplished. Those tasks benefit from deliberation, from robust action execution and from flexible methods for human–robot interaction that account for qualitative notions used in natural language as well as human fallibility. Our robot CAESAR deploys AI techniques on several levels of its system architecture. On the low-level side, system modules for localization or navigation make, for instance, use of path-planning methods, heuristic search, and Bayesian filters. For face recognition and human–machine interaction, random trees and well-known methods from natural language processing are deployed. For deliberation, we use the robot programming and plan language READYLOG, which was developed for the high-level control of agents and robots; it allows combining programming the behaviour using planning to find a course of action. READYLOG is a variant of the robot programming language Golog. We extended READYLOG to be able to cope with qualitative notions of space frequently used by humans, such as “near” and “far”. This facilitates human–robot interaction by bridging the gap between human natural language and the numerical values needed by the robot. Further, we use READYLOG to increase the flexible interpretation of human commands with decision-theoretic planning. We give an overview of the different methods deployed in CAESAR and show the applicability of a system equipped with these AI techniques in domestic service robotics
Y1  - 2012
U6  - http://dx.doi.org/10.1007/s11370-012-0118-y
SN  - 1861-2776
N1  - Special Issue on Artificial Intelligence Techniques for Robotics: Sensing, Representation and Action, Part I
VL  - 5
IS  - 4
SP  - 259
EP  - 276
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Claer, Mario
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
T1  - Calibration of a Rotating or Revolving Platform with a LiDAR Sensor
JF  - Applied Sciences
Y1  - 2019
U6  - http://dx.doi.org/10.3390/app9112238
SN  - 2076-3417
VL  - Volume 9
IS  - issue 11, 2238
PB  - MDPI
CY  - Basel
ER  - 
TY  - CHAP
A1  - Dey, Thomas
A1  - Elsen, Ingo
A1  - Ferrein, Alexander
A1  - Frauenrath, Tobias
A1  - Reke, Michael
A1  - Schiffer, Stefan
ED  - Makedon, Fillia
T1  - CO2 Meter: a do-it-yourself carbon dioxide measuring device for the classroom
T2  - PETRA 2021: The 14th PErvasive Technologies Related to Assistive Environments Conference
N2  - In this paper we report on CO2 Meter, a do-it-yourself carbon dioxide measuring device for the classroom. Part of the current measures for dealing with the SARS-CoV-2 pandemic is proper ventilation in indoor settings. This is especially important in schools with students coming back to the classroom even with high incidents rates. Static ventilation patterns do not consider the individual situation for a particular class. Influencing factors like the type of activity, the physical structure or the room occupancy are not incorporated. Also, existing devices are rather expensive and often provide only limited information and only locally without any networking. This leaves the potential of analysing the situation across different settings untapped. Carbon dioxide level can be used as an indicator of air quality, in general, and of aerosol load in particular. Since, according to the latest findings, SARS-CoV-2 can be transmitted primarily in the form of aerosols, carbon dioxide may be used as a proxy for the risk of a virus infection. Hence, schools could improve the indoor air quality and potentially reduce the infection risk if they actually had measuring devices available in the classroom. Our device supports schools in ventilation and it allows for collecting data over the Internet to enable a detailed data analysis and model generation. First deployments in schools at different levels were received very positively. A pilot installation with a larger data collection and analysis is underway.
KW  - embedded hardware
KW  - sensor networks
KW  - information systems
KW  - education
KW  - do-it-yourself
Y1  - 2021
SN  - 9781450387927
U6  - http://dx.doi.org/10.1145/3453892.3462697
N1  - PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference Corfu Greece 29 June 2021- 2 July 2021
SP  - 292
EP  - 299
PB  - Association for Computing Machinery
CY  - New York
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Meeßen, Marcus
A1  - Limpert, Nicolas
A1  - Schiffer, Stefan
ED  - Lepuschitz, Wilfried
T1  - Compiling ROS Schooling Curricula via Contentual Taxonomies
T2  - Robotics in Education
Y1  - 2021
SN  - 978-3-030-67411-3
U6  - http://dx.doi.org/10.1007/978-3-030-67411-3_5
N1  - RiE: International Conference on Robotics in Education (RiE);
Advances in Intelligent Systems and Computing book series (AISC, volume 1316)
SP  - 49
EP  - 60
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Hofmann, Till
A1  - Mataré, Victor
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Lakemeyer, Gerhard
T1  - Constraint-based online transformation of abstract plans into executable robot actions
T2  - Proceedings of the 2018 AAAI Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy
Y1  - 2018
SP  - 549
EP  - 553
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  - 
TY  - CHAP
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
T1  - Decision-Theoretic Planning with Linguistic Terms in Golog
T2  - FLinAl 2015 - Fuzzy Logic in Artificial Intelligence : Proceedings of the Workshop on Fuzzy Logic in AI (FLinAI-15) co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015) Buenos Aires, Argentina, July 25, 2015.
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0074-1424-4
SN  - 1613-0073
ER  - 
TY  - CHAP
A1  - Scholl, Ingrid
A1  - Suder, Sebastian
A1  - Schiffer, Stefan
T1  - Direct Volume Rendering in Virtual Reality
T2  - Bildverarbeitung für die Medizin 2018
Y1  - 2018
SN  - 978-3-662-56537-7
U6  - http://dx.doi.org/10.1007/978-3-662-56537-7_79
SP  - 297
EP  - 302
PB  - Springer Vieweg
CY  - Berlin
ER  -