@article{FerreinSchifferBooysenetal.2016,
  author    = {Ferrein, Alexander and Schiffer, Stefan and Booysen, T. and Stopforth, R.},
  title     = {Why it is harder to run RoboCup in South Africa: Experiences from German South African collaborations},
  series = {International Journal of Advanced Robotic Systems},
  volume    = {13},
  journal   = {International Journal of Advanced Robotic Systems},
  number    = {5},
  issn      = {1729-8806},
  doi       = {10.1177/1729881416662789},
  pages     = {1 -- 13},
  year      = {2016},
  abstract  = {Robots are widely used as a vehicle to spark interest in science and technology in learners. A number of initiatives focus on this issue, for instance, the Roberta Initiative, the FIRST Lego League, the World Robot Olympiad and RoboCup Junior. Robotic competitions are valuable not only for school learners but also for university students, as the RoboCup initiative shows. Besides technical skills, the students get some project exposure and experience what it means to finish their tasks on time. But qualifying students for future high-tech areas should not only be for students from developed countries. In this article, we present our experiences with research and education in robotics within the RoboCup initiative, in Germany and South Africa; we report on our experiences with trying to get the RoboCup initiative in South Africa going. RoboCup has a huge support base of academic institutions in Germany; this is not the case in South Africa. We present our 'north-south' collaboration initiatives in RoboCup between Germany and South Africa and discuss some of the reasons why we think it is harder to run RoboCup in South Africa.},
  language  = {en}
}
@article{BartellaKamalScholletal.2019,
  author    = {Bartella, Alexander K. and Kamal, Mohammad and Scholl, Ingrid and Schiffer, Stefan and Steegmann, Julius and Ketelsen, Dominik and H{\"o}lzle, Frank W. and Lethaus, Bernd},
  title     = {Virtual reality in preoperative imaging in maxillofacial surgery: implementation of "the next level"?},
  series = {British Journal of Oral and Maxillofacial Surgery},
  volume    = {57},
  journal   = {British Journal of Oral and Maxillofacial Surgery},
  number    = {7},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0266-4356},
  doi       = {10.1016/j.bjoms.2019.02.014},
  pages     = {644 -- 648},
  year      = {2019},
  language  = {en}
}
@inproceedings{FerreinBharatheeshaSchifferetal.2019,
  author    = {Ferrein, Alexander and Bharatheesha, Mukunda and Schiffer, Stefan and Corbato, Carlos Hernandez},
  title     = {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},
  series = {CEUR Workshop Proceedings},
  booktitle = {CEUR Workshop Proceedings},
  number    = {Vol-2329},
  issn      = {1613-0073},
  pages     = {68 Seiten},
  year      = {2019},
  language  = {en}
}
@incollection{GoeckelSchifferWagneretal.2015,
  author    = {Goeckel, Tom and Schiffer, Stefan and Wagner, Hermann and Lakemeyer, Gerhard},
  title     = {The Video Conference Tool Robot ViCToR},
  series = {Intelligent Robotics and Applications : 8th International Conference, ICIRA 2015, Portsmouth, UK, August 24-27, 2015, Proceedings, Part II},
  booktitle = {Intelligent Robotics and Applications : 8th International Conference, ICIRA 2015, Portsmouth, UK, August 24-27, 2015, Proceedings, Part II},
  publisher = {Springer},
  isbn      = {978-3-319-22876-1},
  doi       = {10.1007/978-3-319-22876-1_6},
  pages     = {61 -- 73},
  year      = {2015},
  abstract  = {We present a robotic tool that autonomously follows a conversation to enable remote presence in video conferencing. When humans participate in a meeting with the help of video conferencing tools, it is crucial that they are able to follow the conversation both with acoustic and visual input. To this end, we design and implement a video conferencing tool robot that uses binaural sound source localization as its main source to autonomously orient towards the currently talking speaker. To increase robustness of the acoustic cue against noise we supplement the sound localization with a source detection stage. Also, we include a simple onset detector to retain fast response times. Since we only use two microphones, we are confronted with ambiguities on whether a source is in front or behind the device. We resolve these ambiguities with the help of face detection and additional moves. We tailor the system to our target scenarios in experiments with a four minute scripted conversation. In these experiments we evaluate the influence of different system settings on the responsiveness and accuracy of the device.},
  language  = {en}
}
@article{LimpertWiesenFerreinetal.2019,
  author    = {Limpert, Nicolas and Wiesen, Patrick and Ferrein, Alexander and Kallweit, Stephan and Schiffer, Stefan},
  title     = {The ROSIN Project and its Outreach to South Africa},
  series = {R\&D Journal},
  volume    = {35},
  journal   = {R\&D Journal},
  pages     = {1 -- 6},
  year      = {2019},
  language  = {en}
}
@inproceedings{FerreinSchifferKallweit2018,
  author    = {Ferrein, Alexander and Schiffer, Stefan and Kallweit, Stephan},
  title     = {The ROSIN Education Concept - Fostering ROS Industrial-Related Robotics Education in Europe},
  series = {ROBOT 2017: Third Iberian Robotics Conference},
  booktitle = {ROBOT 2017: Third Iberian Robotics Conference},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-70836-2},
  doi       = {10.1007/978-3-319-70836-2_31},
  pages     = {370 -- 381},
  year      = {2018},
  language  = {en}
}
@article{FerreinJacobsSchifferetal.2009,
  author    = {Ferrein, Alexander and Jacobs, Stefan and Schiffer, Stefan and Beck, Daniel},
  title     = {Robust Collision Avoidance in Unknown Domestic Environments / Jacobs, Stefan ; Ferrein, Alexander ; Schiffer, Stefan ; Beck, Daniel ; Lakemeyer, Gerhard},
  series = {ROBOCUP 2009: ROBOT SOCCER WORLD CUP XIII},
  journal   = {ROBOCUP 2009: ROBOT SOCCER WORLD CUP XIII},
  publisher = {Springer},
  address   = {Berlin},
  pages     = {116 -- 127},
  year      = {2009},
  language  = {en}
}
@article{SchifferFerreinLakemeyer2011,
  author    = {Schiffer, Stefan and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Reasoning with Qualitative Positional Information for Domestic Domains in the Situation Calculus},
  series = {Journal of Intelligent \& Robotic Systems},
  volume    = {63},
  journal   = {Journal of Intelligent \& Robotic Systems},
  number    = {2},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {0921-0296},
  pages     = {273 -- 300},
  year      = {2011},
  language  = {en}
}
@article{FerreinSchifferLakemeyer2006,
  author    = {Ferrein, Alexander and Schiffer, Stefan and Lakemeyer, Gerhard},
  title     = {Qualitative World Models for Soccer Robots / Schiffer, Stefan ; Ferrein, Alexander ; Lakemeyer, Gerhard},
  series = {Qualitative constraint calculi : application and integration ; KI 2006, 14 - 19 June 2006, Bremen, Germany ; 29th Annual German Conference on Artificial Intelligence ; workshop / Stefan W{\"o}lfl ... (eds.)},
  journal   = {Qualitative constraint calculi : application and integration ; KI 2006, 14 - 19 June 2006, Bremen, Germany ; 29th Annual German Conference on Artificial Intelligence ; workshop / Stefan W{\"o}lfl ... (eds.)},
  publisher = {Univ.},
  address   = {Bremen},
  isbn      = {3-88722-666-6},
  pages     = {3 -- 14},
  year      = {2006},
  language  = {en}
}
@article{SchifferFerreinLakemeyer2010,
  author    = {Schiffer, Stefan and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011)},
  series = {Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011)},
  journal   = {Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011)},
  pages     = {1 -- 10},
  year      = {2010},
  language  = {en}
}
@inproceedings{AlhwarinSchifferFerreinetal.2018,
  author    = {Alhwarin, Faraj and Schiffer, Stefan and Ferrein, Alexander and Scholl, Ingrid},
  title     = {Optimized KinectFusion Algorithm for 3D Scanning Applications},
  series = {Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING},
  booktitle = {Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING},
  isbn      = {978-989-758-278-3},
  doi       = {10.5220/0006594700500057},
  pages     = {50 -- 57},
  year      = {2018},
  language  = {en}
}
@inproceedings{NikolovskiRekeElsenetal.2021,
  author    = {Nikolovski, Gjorgji and Reke, Michael and Elsen, Ingo and Schiffer, Stefan},
  title     = {Machine learning based 3D object detection for navigation in unstructured environments},
  series = {2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)},
  booktitle = {2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)},
  publisher = {IEEE},
  isbn      = {978-1-6654-7921-9},
  doi       = {10.1109/IVWorkshops54471.2021.9669218},
  pages     = {236 -- 242},
  year      = {2021},
  abstract  = {In this paper we investigate the use of deep neural networks for 3D object detection in uncommon, unstructured environments such as in an open-pit mine. While neural nets are frequently used for object detection in regular autonomous driving applications, more unusual driving scenarios aside street traffic pose additional challenges. For one, the collection of appropriate data sets to train the networks is an issue. For another, testing the performance of trained networks often requires tailored integration with the particular domain as well. While there exist different solutions for these problems in regular autonomous driving, there are only very few approaches that work for special domains just as well. We address both the challenges above in this work. First, we discuss two possible ways of acquiring data for training and evaluation. That is, we evaluate a semi-automated annotation of recorded LIDAR data and we examine synthetic data generation. Using these datasets we train and test different deep neural network for the task of object detection. Second, we propose a possible integration of a ROS2 detector module for an autonomous driving platform. Finally, we present the performance of three state-of-the-art deep neural networks in the domain of 3D object detection on a synthetic dataset and a smaller one containing a characteristic object from an open-pit mine.},
  language  = {en}
}
@inproceedings{FerreinNiemuellerSchifferetal.2013,
  author    = {Ferrein, Alexander and Niem{\"u}ller, Tim and Schiffer, Stefan and Lakemeyer, Gerhard},
  title     = {Lessons learnt from developing the embodied AI platform CAESAR for domestic service robotics},
  series = {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)},
  booktitle = {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)},
  editor    = {Boots, Byron},
  organization    = {American Association for Artificial Intelligence},
  isbn      = {9781577356011},
  pages     = {21 -- 26},
  year      = {2013},
  language  = {en}
}
@inproceedings{KirschMatareFerreinetal.2020,
  author    = {Kirsch, Maximilian and Matar{\´e}, Victor and Ferrein, Alexander and Schiffer, Stefan},
  title     = {Integrating golog++ and ROS for Practical and Portable High-level Control},
  series = {12th International Conference on Agents and Artificial Intelligence},
  booktitle = {12th International Conference on Agents and Artificial Intelligence},
  doi       = {10.5220/0008984406920699},
  year      = {2020},
  language  = {en}
}
@inproceedings{MatareSchifferFerrein2019,
  author    = {Matar{\´e}, Victor and Schiffer, Stefan and Ferrein, Alexander},
  title     = {golog++ : An integrative system design},
  series = {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},
  booktitle = {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},
  editor    = {Steinbauer, Gerald and Ferrein, Alexander},
  issn      = {1613-0073},
  pages     = {29 -- 35},
  year      = {2019},
  language  = {en}
}
@inproceedings{SchifferFerreinLakemeyer2011,
  author    = {Schiffer, Stefan and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Fuzzy representations and control for domestic service robots in Golog},
  series = {Intelligent robotics and applications : 4th International conference, ICIRA 2011, Aachen, Germany, December 6-8, 2011, proceedings, part I. (Lecture notes in computer science ; 7102)},
  booktitle = {Intelligent robotics and applications : 4th International conference, ICIRA 2011, Aachen, Germany, December 6-8, 2011, proceedings, part I. (Lecture notes in computer science ; 7102)},
  isbn      = {978-3-642-25486-4},
  pages     = {241 -- 250},
  year      = {2011},
  language  = {en}
}
@article{FerreinSchifferLakemeyer2006,
  author    = {Ferrein, Alexander and Schiffer, Stefan and Lakemeyer, Gerhard},
  title     = {Football is coming Home / Schiffer, Stefan ; Ferrein, Alexander ; Lakemeyer, Gerhard},
  series = {PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots},
  journal   = {PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots},
  publisher = {ACM},
  address   = {New York, NY},
  isbn      = {1-74052-130-7},
  pages     = {39 -- 50},
  year      = {2006},
  language  = {en}
}
@article{SchifferFerrein2018,
  author    = {Schiffer, Stefan and Ferrein, Alexander},
  title     = {ERIKA—Early Robotics Introduction at Kindergarten Age},
  series = {Multimodal Technologies Interact},
  volume    = {2},
  journal   = {Multimodal Technologies Interact},
  number    = {4},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2414-4088},
  doi       = {10.3390/mti2040064},
  pages     = {15},
  year      = {2018},
  abstract  = {In this work, we report on our attempt to design and implement an early introduction to basic robotics principles for children at kindergarten age. One of the main challenges of this effort is to explain complex robotics contents in a way that pre-school children could follow the basic principles and ideas using examples from their world of experience. What sets apart our effort from other work is that part of the lecturing is actually done by a robot itself and that a quiz at the end of the lesson is done using robots as well. The humanoid robot Pepper from Softbank, which is a great platform for human-robot interaction experiments, was used to present a lecture on robotics by reading out the contents to the children making use of its speech synthesis capability. A quiz in a Runaround-game-show style after the lecture activated the children to recap the contents they acquired about how mobile robots work in principle. In this quiz, two LEGO Mindstorm EV3 robots were used to implement a strongly interactive scenario. Besides the thrill of being exposed to a mobile robot that would also react to the children, they were very excited and at the same time very concentrated. We got very positive feedback from the children as well as from their educators. To the best of our knowledge, this is one of only few attempts to use a robot like Pepper not as a tele-teaching tool, but as the teacher itself in order to engage pre-school children with complex robotics contents.},
  language  = {en}
}
@article{FerreinSchifferLakemeyer2009,
  author    = {Ferrein, Alexander and Schiffer, Stefan and Lakemeyer, Gerhard},
  title     = {Embedding fuzzy controllers in golog / Ferrein, Alexander ; Schiffer, Stefan ; Lakemeyer, Gerhard},
  series = {IEEE International Conference on Fuzzy Systems, 2009. FUZZ-IEEE 2009},
  journal   = {IEEE International Conference on Fuzzy Systems, 2009. FUZZ-IEEE 2009},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {978-1-4244-3596-8},
  pages     = {894 -- 899},
  year      = {2009},
  language  = {en}
}
@inproceedings{SchollSuderSchiffer2018,
  author    = {Scholl, Ingrid and Suder, Sebastian and Schiffer, Stefan},
  title     = {Direct Volume Rendering in Virtual Reality},
  series = {Bildverarbeitung f{\"u}r die Medizin 2018},
  booktitle = {Bildverarbeitung f{\"u}r die Medizin 2018},
  publisher = {Springer Vieweg},
  address   = {Berlin},
  isbn      = {978-3-662-56537-7},
  doi       = {10.1007/978-3-662-56537-7_79},
  pages     = {297 -- 302},
  year      = {2018},
  language  = {en}
}