Publikationen des Instituts A2S

2024

• H. Buschmeier, T. Hassan, and S. Kopp, "Multimodal Co-Construction of Explanations with XAI Workshop," in Proceedings of the 26th International Conference on Multimodal Interaction (ICMI), 2024, pp. 698-699. https://dl.acm.org/doi/10.1145/3678957.3689205
• J. Schneider, S. Satheesan Cheruvalath, and T. Hassan, "Time for an Explanation: A Mini-Review of Explainable Physio-Behavioural Time-Series Classification," in Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2024, pp. 885-889. https://dl.acm.org/doi/10.1145/3675094.3679001
• M. Gjoreski, T. Hassan, M. Vered, S. Houben, and S. Kopp, "XAI for U: Explainable AI for Ubiquitous, Pervasive and Wearable Computing," in Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2024, pp. 992-995. https://dl.acm.org/doi/10.1145/3675094.3677571
• A. Raviraj, M. Johenneken, A. Drak, A. Asteroth and S. Houben, "Individual Plant Detection on Post-Harvest Forest Floor Using Aerial Imagery," in Proceedings of the 32nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2024.
• A. Viswanath, M. Gref, T. Hassan, and C. Schmidt, "A Multimodal, Multilabel Approach to Recognize Emotions in Oral History Interviews," in Proceedings of the 12th International Conference on Affective Computing and Intelligent Interaction (ACII), 2024.
• A. Viswanath, J. Mallick, T. Hassan, and H. Buschmeier, "Recommendations for Managing Ambiguities in Emotion Annotations," in Embracing Ambiguity and Subjectivity in Emotion Research (EASE 2024) Workshop at the International Conference on Affective Computing & Intelligent Interaction (ACII), 2024.
• O. Arriaga, J. Guo, R. Adam, S. Houben, and F. Kirchner, "Bayesian Inverse Graphics for Few-Shot Concept Learning," in Proceedings of the 18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy), 2024, pp. 141-165. https://doi.org/10.1007/978-3-031-71167-1_8
• M. Saini, M. P. Jacob, M. Nguyen, and N. Hochgeschwender, "Planning Robot Placement for Object Grasping," in Proceedings of the 27th RoboCup International Symposium, 2024. https://arxiv.org/abs/2405.16692
• A. Ortega Sáinz, S. Parra, S. Schneider, and N. Hochgeschwender, "Composable and Executable Scenarios for Simulation-Based Testing of Mobile Robots," Frontiers in Robotics and AI, vol. 11, July 2024. https://doi.org/10.3389/frobt.2024.1363281
• S. Thoduka, D. Nair, P. Caleb-Solly, M. Dragone, F. Cavallo, and N. Hochgeschwender, "Trust in Robot Benchmarking and Benchmarking for Trustworthy Robots," in Aldinhas Ferreira, M.I. (eds) Producing Artificial Intelligent Systems, Studies in Computational Intelligence, vol 1150, Springer, Cham, pp. 31-51, 2024. https://doi.org/10.1007/978-3-031-55817-7_3
• M. Stolarz, M. Romeo, A. Mitrevski, and P. G. Plöger, "Deep Learning-Based Adaptation of Robot Behaviour for Assistive Robotics," in Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2024, pp. 110-117. https://doi.org/10.1109/RO-MAN60168.2024.10731464
• V. Mannava, A. Mitrevski, and P. G. Plöger, "Exploring the Suitability of Conversational AI for Child-Robot Interaction," in Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2024, pp. 1821-1827. https://doi.org/10.1109/RO-MAN60168.2024.10731435
• D. Weichert, S. Wiest, S. Houben, and P. G. Plöger, "Graph Gaussian Processes for Efficient Robust Monte Carlo Tree Search," in ICLR Workshop on Practical ML for Limited/Low Resource Settings (PML4LRS), 2024.
• M. Stolarz, A. Mitrevski, M. Wasil, and P. G. Plöger, "Learning-Based Personalisation of Robot Behaviour for Robot-Assisted Therapy," Frontiers in Robotics and AI, vol. 11, Mar. 2024. https://doi.org/10.3389/frobt.2024.1352152
• S. Thoduka, N. Hochgeschwender, J. Gall, and P. G. Plöger, "A Multimodal Handover Failure Detection Dataset and Baselines," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2024, pp. 17013-17019. https://doi.org/10.1109/ICRA57147.2024.10610143
• G. Chenchani, K. Patel, R. Selvaraju, S. Shinde, V. Kalagaturu, V. Mannava, D. Nair, I. Awaad, M. Wasil, S. Thoduka, S. Schneider, N. Hochgeschwender, P.G. Plöger, "b-it-bots: Winners of RoboCup@Work 2023", in RoboCup 2023: Robot World Cup XXVI, 2024, pp. 350–361. https://doi.org/10.1007/978-3-031-55015-7_29
• M. Bühren, K. Szmyt, A. Mitrevski, M. Stolarz, N. Quiroga, L. Epping, D. Balcheva, J. Schanowski, P. G. Plöger, and H. R. Röttgers, "Assistenzrobotik für Verhaltenstherapeutische Förderprogramme: Möglichkeiten und Limitierungen," in Wissenschaftliche Tagung Autismus-Spektrum (WTAS), Mar. 2024. Extended abstract.
• S. Chaaraoui, S. Houben, and S. Meilinger, "Probabilistic end-to-end irradiance forecasting through pre-trained deep learning models using all-sky-images," Advances in Science and Research, vol. 20, pp. 129–158, 2024. https://doi.org/10.5194/asr-20-129-2024.

2023

• S. Parra, A. Ortega, S. Schneider, and N. Hochgeschwender, "A Thousand Worlds: Scenery Specification and Generation for Simulation-Based Testing of Mobile Robot Navigation Stacks", in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, pp. 5537-5544. https://doi.org/10.1109/IROS55552.2023.10342315

• P. Chaturvedi, M. Johenneken, A. Drak, S. Houben and A. Asteroth, "Object-Based Tree Stump Detection Fusing RGB and Multispectral Data," in Proceedings of the International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2023, pp. 1-6. https://doi.org/10.23919/SoftCOM58365.2023.10271661

• E. Sharma, C. Henke, A. Mitrevski, and P. G. Plöger, "Adaptive Compliant Robot Control with Failure Recovery for Object Press-Fitting" in Proceedings of the European Conference on Mobile Robots (ECMR), 2023, pp. 1-7. https://doi.org/10.1109/ECMR59166.2023.10256379

• N. Quiroga, A. Mitrevski, and P. G. Plöger, "A Study of Demonstration-Based Learning of Upper-Body Motions in the Context of Robot-Assisted Therapy," in Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023, pp. 2569-2576. https://doi.org/10.1109/RO-MAN57019.2023.10309341

• M. Nguyen, N. Hochgeschwender, and S. Wrede, "An Analysis of Behaviour-Driven Requirement Specification for Robotic Competitions", in IEEE/ACM 5th International Workshop on Robotics Software Engineering (RoSE), Winner of the "RoSE 2023 Best Paper Award", 2023, pp. 17-24. https://doi.org/10.1109/RoSE59155.2023.00008

• H. Andradi, S. Blumenthal, E. Prassler, and P. G. Plöger, "LiDAR-based indoor localization with optimal particle filters using surface normal constraints," in IEEE International Conference on Robotics and Automation (ICRA), 2023, pp. 1947-1953. https://doi.org/10.1109/ICRA48891.2023.10160274
• S. Schneider, N. Hochgeschwender, and H. Bruyninckx, "Domain-specific languages for kinematic chains and their solver algorithms: lessons learned for composable models," in IEEE International Conference on Robotics and Automation (ICRA), 2023, pp. 9104-9110. https://doi.org/10.1109/ICRA48891.2023.10160474

• S. O. Sohail, S. Schneider, and N. Hochgeschwender, “Automated testing of standard conformance for robots,” in Proceedings of the IEEE International Conference On Automation Science and Engineering (CASE), 2023, pp. 1-8. https://doi.org/10.1109/CASE56687.2023.10260447

• D. Nurchalifah, S. Blumenthal, L. Lo Iacono, and N. Hochgeschwender, "Analysing the Safety and Security of a UV-C Disinfection Robot," in IEEE International Conference on Robotics and Automation (ICRA), 2023, pp. 12729-12736. https://doi.org/10.1109/ICRA48891.2023.10160527

• A. Mitrevski, P. G. Plöger, and G. Lakemeyer, "A Hybrid Skill Parameterisation Model Combining Symbolic and Subsymbolic Elements for Introspective Robots," Robotics and Autonomous Systems, Special Issue on Semantic Policy and Action Representations for Autonomous Robots (SPAR), vol. 161, p. 104350: 1-22, Mar. 2023. https://doi.org/10.1016/j.robot.2022.104350
• M. Bühren, L. Habermann, L. Epping, J. Schanowski, A. Mitrevski, M. Stolarz, J. Krajewski, P. G. Plöger, and H. R. Röttgers, "Entwicklung eines Assistenzroboters zur Unterstützung verhaltenstherapeutischer Interventionsprogramme autistischer Kinder: Lerndatenerhebung zur Entwicklung von Coping Reaktionen für ein KI-basiertes Zustandserkennungssystem auf der Basis von Blickrichtung und Gesichtsmerkmalen", in Wissenschaftliche Tagung Autismus-Spektrum (WTAS), Mar. 2023. Extended abstract. https://wgas-autismus.org/wp-content/uploads/2023/03/Tagungsband-WTAS-2…

• D. Weichert, A. Kister, P. Volbach, S. Houben, M. Trost, and S. Wrobel, "Explainable Production Planning under Partial Observability in High-Precision Manufacturing," Journal of Manufacturing Systems, vol. 70, pp. 514-524, 2023.

• M. Poretschkin, A. Schmitz, M. Akila, L. Adilova, D. Becker, A. B. Cremers, D. Hecker, S. Houben, M. Mock, J. Rosenzweig, et al., "Guideline for trustworthy artificial intelligence–AI assessment catalog," arXiv preprint, arXiv:2307.03681, 2023.

• K. Beckh, S. Müller, M. Jakobs, V. Toborek, H. Tan, R. Fischer, P. Welke, S. Houben, and L. von Rueden, "Harnessing Prior Knowledge for Explainable Machine Learning: An Overview," in IEEE Conference on Secure and Trustworthy Machine Learning, 2023, pp. 450-463.

• S. M. Ali, T. Deußer, S. Houben, L. Hillebrand, T. Metzler, and R. Sifa, "Automatic Consistency Checking of Table and Text in Financial Documents," in Northern Lights Deep Learning Workshop, vol. 4, 2023.

2022

• N. Quiroga, A. Mitrevski, and P. G. Plöger, "Learning Human Body Motions from Skeleton-Based Observations for Robot-Assisted Therapy," in RO-MAN Workshop on Behavior Adaptation and Learning for Assistive Robotics (BAILAR), 2022. https://arxiv.org/abs/2207.12224
• M. Stolarz, A. Mitrevski, M. Wasil, and P. G. Plöger, "Personalised Robot Behaviour Modelling for Robot-Assisted Therapy in the Context of Autism Spectrum Disorder," in RO-MAN Workshop on Behavior Adaptation and Learning for Assistive Robotics (BAILAR), 2022. https://arxiv.org/abs/2207.12144
• S. Thoduka, D. Nair, N. Hochgeschwender, and P. G. Plöger, "Desirable Characteristics of Datasets for Assessing Responsible Robots," in RO-MAN Workshop on Responsible Robotics: Robots with and for Society (RESP-R), 2022.
• A. Ortega Sáinz, N. Hochgeschwender, and T. Berger, "Testing Service Robots in the Field: An Experience Report," in Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2022, p. 165–172. https://ieeexplore.ieee.org/document/9981789
• P. Gohil, S. Thoduka, and P. G. Plöger, "Sensor Fusion and Multimodal Learning for Robotic Grasp Verification Using Neural Networks," in 26th International Conference on Pattern Recognition (ICPR), 2022.
• P. Gohil, P. G. Plöger, and A. Hinkenjann, "Quantitative Analysis of Object Detectors for Autonomous Driving and Autonomous Parking," in 26th International Conference on Pattern Recognition (ICPR), 2022.
• V. Scharf, S. Syed Ibrahim, M. Stolarz, M. Mehta, and S. Houben, "Object Tracking for Rotating Table Test," in Proceedings of the 25th RoboCup International Symposium, 2022.
• M. Stolarz, A. Mitrevski, M. Wasil, and P. G. Plöger, “Personalized Behaviour Models: A Survey Focusing on Autism Therapy Applications​,” in HRI Workshop on Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI), 2022. https://leap-hri.github.io/papers/LEAP-HRI_2022_paper_3.pdf

2021

• M. Stolarz, A. Mitrevski, M. Wasil, and P. G. Plöger, "Personalised Behaviour Model for Autism Therapy," in ICRS Workshop on Social AI for Human-Robot Interaction of Human-Care Robots, 2021. https://socialrobot-kros.github.io/assets/resources/ICSR2021_Workshop_S…
• P. Gohil, S. Thoduka, and P. G. Plöger, "Sensor Fusion and Multimodal Learning for Robotic Grasp Verification," in RoboTac International Workshop, New Advances in Tactile Sensation, Interactive Perception, Control, and Learning A Soft Robotic Perspective on Grasp, Manipulation, & HRI at IROS, 2021. https://www.robotact.de/rbotac2021
• A. Mitrevski, P. G. Plöger, and G. Lakemeyer, "Hybrid Execution Models of Parameterised Actions for Explainable and Diagnosable Robot Action Execution," in 5th Workshop on Semantic Policy and Action Representations for Autonomous Robots (SPAR) at IROS, 2021. https://sites.google.com/view/spar-2021/accepted-abstracts
• M. Valdenegro-Toro, A. Preciado-Grijalva, and B. Wehbe, "Pre-trained Models for Sonar Images," in Global OCEANS, 2021.
• S. Devagekar, A. Delforouzi, and P. G. Plöger, "Fault Detection in Uni-Directional Tape Production Using Image Processing," in Proceedings of the International Conference on Pattern Recognition, 2021, p. 719–732.
• S. O. Sohail, A. Mitrevski, N. Hochgeschwender, and P. G. Plöger, "Property-Based Testing in Simulation for Verifying Robot Action Execution in Tabletop Manipulation," in Proceedings of the European Conference on Mobile Robots (ECMR), 2021, p. 1–7.
• S. Thoduka, J. Gall, and P. G. Plöger, "Using Visual Anomaly Detection for Task Execution Monitoring," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021. https://ieeexplore.ieee.org/document/9636133
• A. Mitrevski, P. G. Plöger, and G. Lakemeyer, "Ontology-Assisted Generalisation of Robot Action Execution Knowledge," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021. https://ieeexplore.ieee.org/document/9636791
• S. Thoduka and N. Hochgeschwender, "Benchmarking Robots by Inducing Failures in Competition Scenarios," in Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. AI, Product and Service, 2021. https://link.springer.com/chapter/10.1007/978-3-030-77820-0_20
• S. Parra, S. Schneider, and N. Hochgeschwender, "Specifying QoS Requirements and Capabilities for Component-Based Robot Software," in RoSE International Workshop on Robotics Software Engineering, 2021. https://rose-workshops.github.io/files/rose2021/papers/rose2021_6.pdf
• A. Mitrevski, P. G. Plöger, and G. Lakemeyer, "Robot Action Diagnosis and Experience Correction by Falsifying Parameterised Execution Models," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2021, p. 11025–11031. https://ieeexplore.ieee.org/document/9561710

2020

• A. Mitrevski and P. G. Plöger, "Lack of Understanding of Objects as a Cause of Manipulation Failures," in IROS Workshop, Why Robots fail to grasp? – Failure ca(u)ses in robot grasping and manipulation, 2020. https://failtograsp.github.io/blog/ws
• A. Mitrevski, A. F. Abdelrahman, A. Narasimamurthy, and P. G. Plöger, "On the Diagnosability of Actions Performed by Contemporary Robotic Systems," in 31th International Workshop on Principles of Diagnosis (DX), 2020. https://dx-2020.org/papers/DX-2020_paper_6.pdf
• M. Matin and M. Valdenegro-Toro, "Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks!," in ECCV Workshop on Women in Computer Vision, 2020. https://arxiv.org/abs/2008.07426v1
• P. Dhole, A. Asteroth, and S. Meilinger, "Calibrating probabilistic cellular automata for agent-based modelling of real systems," in 2nd International Workshop on Agent-Based Modelling of Human Behaviour, 2020.
• D. M. Bui, P. D. Le, M. T. Cao, T. T. Pham, and D. A. Pham, "Accuracy improvement of various short-term load forecasting models by a novel and unified statistical data-filtering method," International Journal of Green Energy, vol. 17, iss. 7, pp. 382-406, 2020.
• A. Padalkar, M. Nieuwenhuisen, S. Schneider, and D. Schulz, "Learning to Close the Gap: Combining Task Frame Formalism and Reinforcement Learning for Compliant Vegetable Cutting," in Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics (ICINCO), 2020, pp. 221-231. https://www.scitepress.org/Link.aspx?doi=10.5220/0009590602210231
• S. K. Bhandary, N. Hochgeschwender, P. G. Plöger, F. Kirchner, and M. Valdenegro-Toro, "Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds," in ICML Workshop on Uncertainty and Robustness in Deep Learning, 2020. https://www.gatsby.ucl.ac.uk/~balaji/udl2020/accepted-papers/UDL2020-pa…
• K. Jeeveswaran, M. Muthuraja, D. Nair, and P. G. Plöger, "Using Active Learning for Assisted Short Answer Grading," in ICML Workshop on Real World Experiment Design and Active Learning, 2020. https://realworldml.github.io/files/cr/14_Using_Active_Learning_for_Ass…
• A. Mitrevski, P. G. Plöger, and G. Lakemeyer, "Representation and Experience-Based Learning of Explainable Models for Robot Action Execution," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Winner of the “Best Paper Award on Cognitive Robotics”, 2020, p. 5641–5647. https://ieeexplore.ieee.org/document/9341470
• A. F. Abdelrahman, A. Mitrevski, and P. G. Plöger, "Context-Aware Task Execution Using Apprenticeship Learning," in Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, pp. 1329-1335. https://ieeexplore.ieee.org/document/9197476
• E. Cervantes, S. Schneider, and P. G. Plöger, "Low-cost in-hand slippage detection and avoidance for robust robotic grasping with compliant fingers," in Proceedings of Modern Problems of Robotics, 2020.

2019

• N. Hochgeschwender, G. Cornelius, and H. Voos, "Arguing Security of Autonomous Robots," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, pp. 7791-7797. https://ieeexplore.ieee.org/document/8967670
• A. Mitrevski and P. G. Plöger, "Data-Driven Robot Fault Detection and Diagnosis Using Generative Models: A Modified SFDD Algorithm," in 30th International Workshop on Principles of Diagnosis (DX), Klagenfurt, Austria, 2019. https://dx-workshop.org/2019/wp-content/uploads/2019/papers/DX_2019_pap…
• P. Bhat, S. Thoduka, and P. G. Plöger, "A Dependency Detection Method for Sensor-based Fault Detection," in 30th International Workshop on Principles of Diagnosis (DX), Klagenfurt, Austria, 2019. https://dx-workshop.org/2019/wp-content/uploads/2019/papers/DX_2019_pap…
• A. Küstenmacher and P. G. Plöger, "Symbolic Representation of Execution Specific Knowledge," in 30th International Workshop on Principles of Diagnosis (DX), Klagenfurt, Austria, 2019. https://dx-workshop.org/2019/wp-content/uploads/2019/papers/DX_2019_pap…
• P. Kulkarni, S. Schneider, and P. G. Plöger, "Low-Cost Sensor Integration for Robust Grasping with Flexible Robotic Fingers," in Proceedings of the 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), 2019. https://link.springer.com/chapter/10.1007/978-3-030-22999-3_57
• L. Naik, S. Blumenthal, N. Huebel, H. Bruyninckx, and E. Prassler, "Semantic mapping extension for OpenStreetMap applied to indoor robot navigation," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2019, pp. 3839-3845. https://ieeexplore.ieee.org/document/8793641
• A. Mitrevski, A. Padalkar, M. Nguyen, and P. G. Plöger, ""Lucy, Take the Noodle Box!": Domestic Object Manipulation Using Movement Primitives and Whole Body Motion," in Proceedings of the 23rd RoboCup International Symposium, Sydney, Australia, 2019. https://2019.robocup.org/downloads/program/MitrevskiEtAl2019.pdf
• A. Mitrevski and P. G. Plöger, "Reusable Specification of State Machines for Rapid Robot Functionality Prototyping," in Proceedings of the 23rd RoboCup International Symposium, Finalist for the “Best Engineering Paper Award”, Sydney, Australia, 2019. https://2019.robocup.org/downloads/program/MitrevskiPl%C3%B6ger2019.pdf
• E. J. Romero Kramer, A. Ortega Sáinz, A. Mitrevski, and P. G. Plöger, "Tell Your Robot What To Do: Evaluation of Natural Language Models for Robot Command Processing," in Proceedings of the 23rd RoboCup International Symposium, Sydney, Australia, 2019. https://2019.robocup.org/downloads/program/KramerEtAl2019.pdf
• A. Padalkar, M. Wasil, S. Mahajan, R. Kumar, D. Bakaraniya, R. Shirodkar, H. Andradi, D. Padmanabhan, C. Wiesse, A. Abdelrahman, S. Chavan, N. Gurulingan, D. Nair, S. Thoduka, I. Awaad, S. Schneider, P. G. Plöger, and G. K. Kraetzschmar, "b-it-bots: Our Approach for Autonomous Robotics in Industrial Environments," in Proceedings of the 23rd RoboCup International Symposium, Sydney, Australia, 2019. https://link.springer.com/chapter/10.1007/978-3-030-35699-6_48
• S. Schneider and H. Bruyninckx, "Exploiting Linearity in Dynamics Solvers for the Design of Composable Robotic Manipulation Architectures," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, pp. 7439-7446. https://ieeexplore.ieee.org/document/8968500
• A. Hagg, M. Zaefferer, J. Stork, and A. Gaier, "Prediction of neural network performance by phenotypic modeling," in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019, p. 1576–1582. https://dl.acm.org/doi/abs/10.1145/3319619.3326815
• A. Gaier, A. Asteroth, and J. Mouret, "Are quality diversity algorithms better at generating stepping stones than objective-based search?," in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019, p. 115–116. https://dl.acm.org/doi/10.1145/3319619.3321897
• A. Gaier and D. Ha, "Weight Agnostic Neural Networks," in Advances in Neural Information Processing Systems, 2019. https://papers.nips.cc/paper/8777-weight-agnostic-neural-networks
• I. Vishniakou, "Virtual reality for animal navigation with camera-based optical flow tracking," Journal of Neuroscience Methods, vol. 327, p. 108403, 2019. https://www.sciencedirect.com/science/article/abs/pii/S0165027019302602
• B. Mahesh, E. Prassler, T. Hassan, and J. Garbas, "Requirements for a Reference Dataset for Multimodal Human Stress Detection," in IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2019, pp. 492-498. https://ieeexplore.ieee.org/abstract/document/8730884
• P. Kulkarni, S. Schneider, M. Bennewitz, D. Schulz, and P. G. Plöger, "Applying the Popov-Vereshchagin Hybrid Dynamics Solver for Teleoperation under Instantaneous Constraints," in Proceedings of the IEEE International Conference on Advanced Robotics (ICAR), 2019. https://ieeexplore.ieee.org/document/8981568

2018

• R. Ravichandran, N. Huebel, S. Blumenthal, and E. Prassler, "A Workbench for Quantitative Comparison of Databases in Multi-Robot Applications," in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, pp. 3744-3750. https://ieeexplore.ieee.org/document/8594241
• O. Lima, R. Ventura, and I. Awaad, "Integrating Classical Planning and Real Robots in Industrial and Service Robotics Domains," in Planning and Robotics (PlanRob) Workshop at the 28th International Conference on Automated Planning and Scheduling (ICAPS), 2018. https://welcome.isr.tecnico.ulisboa.pt/publications/integrating-classic…
• N. Huebel, S. Blumenthal, L. Naik, and H. Bruyninckx, Challenges in Using OSM for Robotic Applications, 2018. https://limo.libis.be/primo-explore/fulldisplay?docid=LIRIAS1995272&con…
• J. Diaz Posada, P. Mukherjee, and A. Verl, "Automatic Close-optimal Workpiece Positioning for Robotic Manufacturing.," in Proceedings of the 1st CIRP Conference on Manufacturing Systems (CIRP CMS), 2018. https://www.sciencedirect.com/science/article/pii/S2212827118302993
• A. Gaier, A. Asteroth, and J. Mouret, "Data-efficient Neuroevolution with Kernel-Based Surrogate Models," in Proceedings of the Genetic and Evolutionary Computation Conference, 2018. https://dl.acm.org/doi/10.1145/3205455.3205510
• A. Gaier, A. Asteroth, and J. Mouret, "Data-Efficient Design Exploration through Surrogate-Assisted Illumination," Evolutionary Computation, 2018. https://dl.acm.org/doi/10.1162/evco_a_00231
• Y. Youssef and P. G. Plöger, "A Non-intrusive Fault Diagnosis System For Robotic Platforms," in 29th International Workshop on Principles of Diagnosis (DX), Warsaw, Poland, 2018. https://ceur-ws.org/Vol-2289/paper20.pdf
• A. Mitrevski, S. Thoduka, A. Ortega Sáinz, M. Schöbel, P. Nagel, P. G. Plöger, and E. Prassler, "Deploying Robots in Everyday Environments: Towards Dependable and Practical Robotic Systems," in 29th International Workshop on Principles of Diagnosis (DX), Warsaw, Poland, 2018. https://arxiv.org/abs/2206.12719
• A. Mitrevski, S. Thoduka, A. Ortega Sáinz, M. Schöbel, P. Nagel, P. G. Plöger, and E. Prassler, "Practical Robot Deployment: Towards an Increased Dependability of Robotic Systems," in Extreme Robotics, 29th International Scientific and Technological Conference, Invited paper, 2018.

2017

• S. Thoduka, F. Hegger, G. K. Kraetzschmar, and P. G. Plöger, "Motion Detection in the Presence of Egomotion Using the Fourier-Mellin Transform," in Proceedings of the 21st RoboCup International Symposium, Nagoya, Japan, 2017. https://link.springer.com/chapter/10.1007/978-3-030-00308-1_21
• G. Cornelius, N. Hochgeschwender, and H. Voos, "Model-Driven Interaction Design for Social Robots," in Proceedings of the 4th International Workshop on Model-driven Robot Software Engineering, 2017. https://orbilu.uni.lu/handle/10993/32925
• A. Gaier, A. Asteroth, and J. Mouret, "Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination," in GECCO ’17: Proceedings of the Genetic and Evolutionary Computation Conference, Berlin, Germany, 2017, p. 99-106.
• A. Gaier, A. Asteroth, and J. Mouret, "Aerodynamic Design Exploration through Surrogate-Assisted Illumination," in 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017. https://hal.inria.fr/hal-01518786
• Y. Youssef, C. Hebbal, A. Drak, P. G. Plöger, and A. Kuestenmacher, "Model-Based Remote Diagnosis of Motion Faults on an Omnidirectional Robot via Structural Analysis," in 28th International Workshop on Principles of Diagnosis (DX), Brescia, Italy, 2017.
• M. Ghallab, N. Hawes, D. Magazzeni, B. C. Williams, and A. Orlandini, "Planning and Robotics (Dagstuhl Seminar 17031)," Dagstuhl Reports, vol. 7, iss. 1, p. 32-73, 2017. https://drops.dagstuhl.de/opus/volltexte/2017/7245
• A. Mitrevski, A. Kuestenmacher, S. Thoduka, and P. G. Plöger, "Improving the Reliability of Service Robots in the Presence of External Faults by Learning Action Execution Models," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2017, p. 4256–4263. https://ieeexplore.ieee.org/document/7989489
• L. Iocchi, G. K. Kraetzschmar, D. Nardi, P. U. Lima, P. Miraldo, E. Bastianelli, and R. Capobianco, "RoCKIn@Home: Domestic Robots Challenge," in RoCKIn – Benchmarking Through Robot Competitions, InTech, 2017. https://www.intechopen.com/books/rockin-benchmarking-through-robot-comp…
• R. Bischoff, T. Friedrich, G. K. Kraetzschmar, S. Schneider, and N. Hochgeschwender, "RoCKIn@Work: Industrial Robot Challenge," in RoCKIn – Benchmarking Through Robot Competitions, InTech, 2017. https://www.intechopen.com/books/rockin-benchmarking-through-robot-comp…
• M. Riestock, F. Engelhardt, S. Zug, and N. Hochgeschwender, "User study on remotely controlled UAVs with focus on interfaces and data link quality," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017. https://ieeexplore.ieee.org/document/8206179
• H. M. Bleses, S. Ziegler, M. Füller, and T. Beer, "Personen mit Demenz und Telepräsenzroboter: Virtuelle Begegnungen in Alltagssituationen," in Digitale Transformation von Dienstleistungen im Gesundheitswesen III, Springer Gabler, 2017, p. 221–231. https://www.springerprofessional.de/en/personen-mit-demenz-und-teleprae…
• G. Cornelius, P. Caire, N. Hochgeschwender, M. A. Olivares-Mendez, P. Esteves-Verissimo, M. Völp, and H. Voos, "A Perspective of Security for Mobile Service Robots," in 3rd Iberian Robotics Conference (ROBOT), 2017. https://link.springer.com/chapter/10.1007/978-3-319-70833-1_8
• A. Vanzo, L. Iocchi, D. Nardi, R. Memmesheimer, D. Paulus, I. Ivanovska, and G. Kraetzschmar, "Benchmarking Speech Understanding in Service Robotics," in Proceedings of the 4th Italian Workshop on Artificial Intelligence and Robotics (AIRO), 2017. https://www.semanticscholar.org/paper/Benchmarking-Speech-Understanding…
• U. P. Schultz, M. Bordignon, K. Stoy, A. Nordmann, N. Hochgeschwender, and S. Wrede, "DSLs in Robotics: A Case Study in Programming Self-reconfigurable Robots," in Grand Timely Topics in Software Engineering (GTTSE), 2017. https://link.springer.com/chapter/10.1007/978-3-319-60074-1_5
• D. Brugali and N. Hochgeschwender, "Managing the Functional Variability of Robotic Perception Systems," in IEEE International Conference on Robotic Computing (IRC), 2017. https://ieeexplore.ieee.org/abstract/document/7926550
• M. Riestock, F. Engelhardt, S. Zug, and N. Hochgeschwender, "Exploring Gridmap-based Interfaces for the Remote Control of UAVs under Bandwidth Limitations," in Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2017. https://dl.acm.org/doi/10.1145/3029798.3038350

2016

• C. K. Tan, P. G. Plöger, and T. P. Trappenberg, "A Neural Field approach to Obstacle Avoidance," in German Conference on Artificial Intelligence (KI), Klagenfurt, Austria, 2016. https://link.springer.com/chapter/10.1007/978-3-319-46073-4_6
• T. Niemueller, S. Zug, S. Schneider, and U. Karras, "Knowledge-Based Instrumentation and Control for Competitive Industry-Inspired Robotic Domains," KI – Zeitschrift Künstliche Intelligenz, p. 1–11, 2016. https://link.springer.com/article/10.1007/s13218-016-0438-8
• S. Thoduka, S. Pazekha, A. Moriarty, and G. K. Kraetzschmar, "RGB-D-Based Features for Recognition of Textureless Objects," in Proceedings of the 20th RoboCup International Symposium, Leipzig, Germany, 2016. https://link.springer.com/chapter/10.1007/978-3-319-68792-6_24
• M. Herman, T. Gindele, J. Wagner, F. Schmitt, C. Quignon, and W. Burgard, "Learning High-Level Navigation Strategies via Inverse Reinforcement Learning: A Comparative Analysis," in AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint Conference, 2016, p. 525–534. https://link.springer.com/chapter/10.1007/978-3-319-50127-7_45
• A. Drak, Y. Youssef, P. G. Plöger, and A. Kuestenmacher, "Remote Fault Diagnosis of Robots Using a Robotic Black Box," in 27th International Workshop on Principles of Diagnosis (DX), 2016.
• M. Valdenegro-Toro, P. Plöger, S. Eickeler, and I. Konya, "Histograms of Stroke Widths for Multi-script Text Detection and Verification in Road Scenes," IFAC-PapersOnLine, vol. 49, iss. 15, p. 100–107, 2016. https://www.sciencedirect.com/science/article/pii/S2405896316309922
• M. Pozzi, A. M. Sundaram, M. Malvezzi, D. Pratichizzo, and M. A. Roa, "Grasp Quality Evaluation in Underactuated Robotic Hands," in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016. https://ieeexplore.ieee.org/document/7759307
• A. Kuestenmacher and P. G. Plöger, "Model-Based Fault Diagnosis Techniques for Mobile Robots," in 9th IFAC Symposium on Intelligent Autonomous Vehicles (IAV), 2016. https://www.sciencedirect.com/science/article/pii/S2405896316308849
• J. Sanchez, S. Schneider, N. Hochgeschwender, G. K. Kraetzschmar, and P. G. Plöger, "Context-Based Adaptation of In-Hand Slip Detection for Service Robots," in Proceedings of the IFAC Symposium on Intelligent Autonomous Vehicles (IAV), 2016. https://www.sciencedirect.com/science/article/pii/S2405896316310461
• S. Eickeler, M. Valdenegro, T. Werner, and M. Kieninger, "Future Computer Vision Algorithms for Traffic Sign Recognition Systems," in Advanced Microsystems for Automotive Applications, 2016, p. 69–77. https://link.springer.com/chapter/10.1007/978-3-319-20855-8_6
• A. Hagg, F. Hegger, and P. G. Ploeger, "On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities," in Proceedings of the 20th RoboCup International Symposium, Winner of the "Best Paper Award for Scientific Contribution", Leipzig, Germany, 2016. https://link.springer.com/chapter/10.1007/978-3-319-68792-6_1
• A. Nordmann, N. Hochgeschwender, D. Wiegand, and S. Wrede, "A Survey on Domain-specific Modeling and Languages in Robotics," Journal for Software Engineering Robotics (JOSER), vol. 7, no. 1, 2016. https://link.springer.com/chapter/10.1007/978-3-319-11900-7_17
• L. Gammaitoni and N. Hochgeschwender, "RPSL meets lightning: A model-based approach to design space exploration of robot perception systems," in Proceedings of the IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), 2016. https://ieeexplore.ieee.org/document/7862378
• N. Hochgeschwender, S. Schneider, H. Voos, H. Bruyninckx, and G. K. Kraetzschmar, "Graph-based software knowledge: Storage and semantic querying of domain models for run-time adaptation," in Proceedings of the IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), 2016. https://ieeexplore.ieee.org/document/7862379
• A. M. Sundaram, O. Porges, and M. A. Roa, "Planning Realistic Interactions for Bimanual Grasping and Manipulation," in Proceedings of the 2016 IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), 2016. https://ieeexplore.ieee.org/document/7803392

2015

• S. Schneider, F. Hegger, N. Hochgeschwender, R. Dwiputra, A. Moriarty, J. Berghofer, and G. Kraetzschmar, "Design and Development of a Benchmarking Testbed for the Factory of the Future," in Proceedings of the 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA): Special Session on Mobile Robotics in the Factory of the Future, Luxembourg, 2015.
• M. Ludwig, A. Meenakshi Sundaram, M. Fueller, A. Asteroth, and E. Prassler, "On Modeling the Cardiovascular System and Predicting the Human Heart Rate under Strain," in Proceedings of the International Conference on Information and Communication Technologies for Ageing Well and e-Health, Lisbon, Portugal, 2015.
• L. Gherardi and N. Hochgeschwender, "Poster: Model-based Run-time Variability Resolution for Robotic Applications," in Proceedings of the 37th International Conference on Software Engineering, Florence, Italy, 2015.
• I. Awaad, G. K. Kraetzschmar, and J. Hertzberg, "The role of functional affordances in socializing robots," International Journal of Social Robotics, vol. 7, no. 4, p. 421–438, 2015. https://link.springer.com/article/10.1007/s12369-015-0281-3
• E. Shpieva and I. Awaad, "Integrating Task Planning, Execution and Monitoring for a Domestic Service Robot," Information Technology, vol. 57, no. 2, p. 112–121, 2015. https://www.degruyter.com/document/doi/10.1515/itit-2014-1064/html
• S. Blumenthal, N. Hochgeschwender, E. Prassler, H. Voos, and H. Bruyninckx, "An Approach for a Distributed World Model with QoS-based Perception Algorithm Adaptation," in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.
• M. Füller, A. Meenakshi Sundaram, M. Ludwig, A. Asteroth, and E. Prassler, "Modeling and Predicting the Human Heart Rate During Running Exercise," in 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AgeingWell), Lisbon, Portugal, 2015, pp. 106–125. https://dx.doi.org/10.1007/978-3-319-27695-3_7
• A. Gaier, "Evolutionary Design via Indirect Encoding of Non-Uniform Rational Basis Splines," in Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference – GECCO Companion, 2015, p. 1197–1200. https://dl.acm.org/doi/10.1145/2739482.2768478
• L. Gherardi and N. Hochgeschwender, "RRA: Models and Tools for Robotics Run-time Adaptation," in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.
• N. Hochgeschwender, H. Voos, and G. K. and Kraetzschmar, "Context-based Selection and Execution of Robot Perception Graphs," in Proceedings of IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2015.

2014

• J. C. Aguilar, P. Plöger, A. Hinkenjann, J. Maiero, M. Flores, and A. Ramos, "Pedestrian Indoor Positioning Using Smartphone Multi-sensing, Radio Beacons, User Positions Probability Map and IndoorOSM Floor Plan Representation," in Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN), Busan, South Korea, 2014.
• G. K. Kraetzschmar, N. Hochgeschwender, W. Nowak, F. Hegger, S. Schneider, R. Dwiputra, J. Berghofer, and R. Bischoff, "RoboCup@Work: Competing for the Factory of the Future," in Proceedings of the 18th RoboCup International Symposium, Joao Pessoa, Brazil, 2014.
• J. Sanchez, S. Schneider, and P. G. Plöger, "Safely Grasping with Complex Dexterous Hands by Tactile Feedback," in Proceedings of the 18th RoboCup International Symposium, Joao Pessoa, Brazil, 2014.
• S. Schneider, N. Hochgeschwender, and G. K. Kraetzschmar, "Structured Design and Development of Domain-Specific Languages in Robotics," in Proceedings of the 2014 International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Bergamo, Italy, 2014.
• A. Nordmann, N. Hochgeschwender, and S. Wrede, "A Survey on Domain-specific Languages in Robotics," in Proceedings of the 2014 International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Bergamo, Italy, 2014.
• S. Schneider, N. Hochgeschwender, and G. K. Kraetzschmar, "Declarative Specification of Task-based Grasping with Constraint Validation," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Chicago, Illinois, USA, 2014.
• A. Kuestenmacher, P. Plöger, and G. Lakemeyer, "Enhancing Action Execution by Using Spatial Relational Knowledge," in 25nd International Workshop on Principles of Diagnosis (DX), 2014.
• A. Kuestenmacher, N. Akhtar, P. G. Plöger, and G. Lakemeyer, "Towards Robust Task Execution for Domestic Service Robots," in Proceedings of the 24th International Conference on Automated Planning and Scheduling (ICAPS), Journal Presentation Track, 2014.
• N. Kirchner, A. Alempijevic, A. Virgona, X. Dai, P. G. Plöger, and R. K. Venkat, "A robust people detection, tracking, and counting system," in Proceedings of Australasian Conference on Robotics and Automation, 2014, Melbourne, Australia, 2014.
• S. Alexandrov and R. Herpers, "Evaluation of Recent Approaches to Visual Odometry from RGB-D Images," in RoboCup 2013: Robot World Cup XVII, 2014, vol. 8371, pp. 444-455.
• B. Kahl, M. Füller, T. Beer, and S. Ziegler, "Acceptance and communicative effectiveness of different HRI modalities for mental stimulation in dementia care," in Proceedings of New Frontiers of Service Robotics for the Elderly, IEEE RO-MAN, 2014.
• N. Hochgeschwender, S. Schneider, H. Voos, and G. K. Kraetzschmar, "Declarative Specification of Robot Perception Architectures," in Proceedings of the 2014 International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Bergamo, Italy, 2014.
• G. Heisenberg, Y. A. Rezaei, T. Rothdeutsch, and W. Heiden, "Arm prosthesis simulation on a virtual reality L-shaped workbench display system using a brain computer interface," in Proccedings of the 10th International Conference on Disability, Virtual Reality and Associated Technologies, Gothenburg, Sweden, 2014.
• A. Gaier and A. Asteroth, "Evolving look ahead controllers for energy optimal driving and path planning," in IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA), Madrid, Spain, 2014, p. 138–145.
• A. Gaier and A. Asteroth, "Evolution of optimal control for energy-efficient transport," in IEEE Intelligent Vehicles Symposium, Dearborn, Michigan, USA, 2014, p. 1121–1126.
• I. Awaad, G. K. Kraetzschmar, and J. Hertzberg, "Finding Ways to Get the Job Done: An Affordance-based Approach," in Proceedings of the 24th International Conference on Planning and Scheduling (ICAPS), Robotics Track, 2014.
• I. Awaad, G. K. Kraetzschmar, and J. Hertzberg, "Challenges in finding ways to get the job done," in Planning and Robotics (PlanRob) Workshop at the 24th International Conference on Automated Planning and Scheduling (ICAPS), 2014.
• J. Vandorpe, J. Vliegen, R. Smeets, N. Mentens, M. Drutarovsky, M. Varchola, K. Lemke-Rust, P. Plöger, P. Samarin, D. Koch, Y. Hafting, and J. Torresen, "Remote FPGA Design Through EDIVIDE – European Digital Virtual Design Lab," in Proceedings of the 24th International Conference on Field Programmable, Logic and Applications (FPL), 2014.

2013

• J. C. Aguilar, A. Hinkenjann, P. Plöger, and J. Maiero, "Robust indoor localization using optimal fusion filter for sensors and map layout information," in Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN), Montbeliard – Belfort, France, 2013.
• I. Awaad, G. K. Kraetzschmar, and J. Hertzberg, "Affordance-Based Reasoning in Robot Task Planning," in Planning and Robotics (PlanRob) Workshop at the 23rd International Conference on Automated Planning and Scheduling (ICAPS), 2013.
• I. Awaad, G. K. Kraetzschmar, and J. Hertzberg, "Socializing Robots: The Role of Functional Affordances," in International Workshop on Developmental Social Robotics (DevSoR): Reasoning about Human, Perspective, Affordances and Effort for Socially Situated Robots at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013.
• R. Dwiputra and G. K. Kraetzschmar, "Haptic Interface for Domestic Service Robot," in 2nd International Conference on Control, Robotics and Informatics (ICCRI), Kuala Lumpur, Malaysia, 2013.
• M. Fueller, E. Prassler, and P. Forsmann, "Multi-Step Motion Planning for Climbing Robots with Kinodynamic Constraints," in Proceedings of the International Conference on Advanced Robotics (ICAR), Montevideo, Uruguay, 2013.
• N. Hochgeschwender, L. Gherardi, A. Shakhirmardanov, G. K. Kraetzschmar, D. Brugali, and H. Bruyninckx, "A model-based approach to software deployment in robotics," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013, pp. 3907-3914.
• N. Hochgeschwender, F. Hegger, and G. K. Kraetzschmar, "Analysis and Benchmarking Infrastructure Requirements for Robot Competitions," in European Robotics Forum 2013 – Working Session on Infrastructure for Robot Analysis and Benchmarking, Lyon, France, 2013.
• N. Hochgeschwender, S. Schneider, H. Voos, and G. K. Kraetzschmar, "Towards a Robot Perception Specification Language," in International Workshop on Domain-Specific Languages and models for ROBotic systems (DSLRob), Tokyo, Japan, 2013.
• M. Klotzbücher, N. Hochgeschwender, L. Gherardi, H. Bruyninckx, G. K. Kraetzschmar, D. Brugali, A. Shakhimardanov, J. Paulus, M. Reckhaus, H. Garcia, D. Faconti, and P. Soetens, "The BRICS component model: a model-based development paradigm for complex robotics software systems," in Proceedings of the 28th Annual ACM Symposium on Applied Computing (SAC) – Track on Software Architecture: Theory, Technology, and Applications (SA-TTA), Coimbra, Portugal, 2013.
• A. Kuestenmacher, N. Akhtar, P. G. Plöger, and G. Lakemeyer, "Unexpected Situations in Service Robot Environment: Classification and Reasoning Using Naive Physics," in Proceedings of the 17th RoboCup International Symposium, Eindhoven, Netherlands, 2013.
• A. Kuestenmacher, P. G. Plöger, and G. Lakemeyer, "Improving Robustness of Task Execution Against External Faults Using Simulation Based Approach," in Proceedings of the 24th International Workshop on Principles of Diagnosis (DX), Jerusalem, Israel, 2013.
• A. Naveed, A. Kuestenmacher, P. G. Plöger, and G. Lakemeyer, "Simulation-based approach for avoiding external faults," in Proceedings of the International Conference on Advanced Robotics (ICAR), Jerusalem, Israel, 2013.
• S. Schneider and N. Hochgeschwender, "Towards a Declarative Grasp Specification Language," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) – Workshop on Combining Task and Motion Planning, Karlsruhe, Germany, 2013.
• E. Shpieva and I. Awaad, "Integrating the Planning, Execution and Monitoring Systems for a Domestic Service Robot," in Workshop on Roboterkontrollarchitekturen at Informatik, 2013.

2012

• J. A. Alvarez Ruiz, P. G. Plöger, and G. K. Kraetzschmar, "Active Scene Text Recognition for a Domestic Service Robot," in Proceedings of the 16th RoboCup International Symposium, Mexico City, Mexico, 2012.
• F. Hegger, N. Hochgeschwender, G. K. Kraetzschmar, and P. G. Plöger, "People Detection in 3d Point Clouds using Local Surface Normals," in Proceedings of the 16th RoboCup International Symposium, Mexico City, Mexico, 2012.
• C. A. Mueller, “3D Objekt Kategorisierung in haeuslichen Umgebungen,” in Informatik Tage 2012, Bonn, Germany, 2012.
• C. A. Mueller, P. G. Ploeger, and M. S. Roscoe, "Towards Scalable 3D Object Shape Categorization," in International Conference on Intelligent Robots and Systems (IROS): Active Semantic Perception Workshop, Vilamoura, Portugal, 2012.

2011

• N. Akhtar, M. Fueller, T. Henne, and B. Kahl, "Towards iterative learning of autonomous robots using ILP," in International Conference on Advanced Robotics, Tallinn, Estonia, 2011.
• N. Akhtar and A. Kuestenmacher, "Using Naive Physics for unknown external faults in robotics," in International Workshop on Principles of Diagnosis (DX), Murnau, Germany, 2011.
• T. Breuer, G. R. Giorgana Macedo, R. Hartanto, N. Hochgeschwender, D. Holz, F. Hegger, Z. Jin, C. A. Mueller, J. Paulus, M. Reckhaus, P. G. Plöger, G. K. Kraetzschmar, and J. A. Alvarez Ruiz, "Johnny: An Autonomous Service Robot for Domestic Environments," Springer Journal of Intelligent and Robotic Systems, Special Issue on Domestic Service Robots in the Real World, p. 1–28, 2011.
• C. A. Mueller, N. Hochgeschwender, and P. G. Plöger, "Surface Reconstruction with Growing Neural Gas," in IROS Workshop on Active Semantic Perception and Object Search in the Real World, San Francisco, USA, 2011.
• C. A. Mueller, N. Hochgeschwender, P. G. Plöger, "Towards Robust Object Categorization for Mobile Robots with Combination of Classifiers," in Proceedings of the 15th RoboCup International Symposium, Istanbul, Turkey, 2011.
• A. Shakhimardanov, N. Hochgeschwender, M. Reckhaus, and G. K. Kraetzschmar, "Analysis of Software Connectors in Robotics," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, USA, 2011.

2010

• R. Bischoff, T. Guhl, E. Prassler, W. Nowak, G. K. Kraetzschmar, H. Bruyninckx, P. Soetens, M. Haegele, A. Pott, P. Breedveld, J. Broenink, D. Brugali, and N. Tomatis, "BRICS: Best practice in robotics," in Proceedings of the IFR International Symposium on Robotics (ISR), Munich, Germany, 2010.
• P. G. Plöger and C. A. Mueller, "Towards Robust Object Categorization on a Mobile Robot," in Proceedings of the Workshop on Domestic Service Robots in the Real World at the 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Darmstadt, Germany, 2010.
• T. Breuer, P. G. Plöger, and G. K. Kraetzschmar, "Precise Pointing Target Recognition for Human-Robot Interaction," in Proceedings of the Workshop on Domestic Service Robots in the Real World at the 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Darmstadt, Germany, 2010.
• G. R. Giorgana Macedo, "Facial Expression Recognition for Domestic Service Robots," in Proceedings of the Workshop on Domestic Service Robots in the Real World at the 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Darmstadt, Germany, 2010.
• Z. Jin, "An Optimized GBNR Sound Localization Algorithm with 4 elements Microphone Array," in Proceedings of the Workshop on Domestic Service Robots in the Real World held at the 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Darmstadt, Germany, 2010, p. 263–273.
• M. Reckhaus, N. Hochgeschwender, J. Paulus, A. Shakhimardanov, and G. K. Kraetzschmar, "An Overview about Simulation and Emulation in Robotics," in Proceedings of the Workshop on Simulation Technologies in the Robot Development Process held on the 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Darmstadt, Germany, 2010.
• D. Brugali and A. Shakhimardanov, "Component-based Robotic Engineering. Part II: Models and systems," in IEEE Robotics and Automation Magazine, 2010.
• N. Hochgeschwender and A. Shakhimardanov, "Component-Based Robotics Middleware," in SDIR Tutorial on Component-Based Robotics Engineering, IEEE/RAS International Conference on Robotics and Automation (ICRA), Anchorage, USA, 2010.
• G. K. Kraetzschmar, A. Shakhimardanov, M. Reckhaus, J. Paulus, and N. Hochgeschwender, "On the role of simulation in the robot development process," in 2nd International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Darmstadt, Germany, 2010.
• M. Reckhaus, N. Hochgeschwender, P. G. Plöger, and G. K. Kraetzschmar, "A Platform-independent Programming Environment for Robot Control," in 1st International Workshop on Domain-Specific Languages and Models for Robotic Systems (DSLRob), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipeh, Taiwan, 2010.
• A. Shakhimardanov, G. K. Kraetzschmar, and N. Hochgeschwender, "Component Models in Robotics Software," in Proceedings of the Performance Metrics for Intelligent Systems Workshop (PerMIS), Baltimore, USA, 2010.

2009

• D. Holz, G. K. Kraetzschmar, and E. Rome, "Robust and Computationally Efficient Navigation in Domestic Environments," in Proceedings of the 13th RoboCup International Symposium, Graz, Austria, 2009.

2008

• I. Awaad, R. Hartanto, B. León, and P. Plöger, "A Software System for Robotic Learning by Experimentation," in Proceedings of the 1st International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Venice, Italy, 2008, p. 99–110.
• I. Awaad, R. Hartanto, B. Leon, and P. Plöger, "A Software System for Robotic Learning by Experimentation," in Workshop on Robot Simulators: Available software, scientific applications and future at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2008.
• I. Awaad and B. León, “XPERSim: A Simulator for Robot Learning by Experimentation,” in Proceedings of the 1st International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Venice, Italy, 2008, p. 5–16.
• D. Holz, C. Loerken, and H. Surmann, "Continuous 3D Sensing for Navigation and SLAM in Cluttered and Dynamic Environments," in Proceedings of the International Conference on Information Fusion (FUSION), Cologne, Germany, 2008.
• P. G. Plöger, K. Pervoelz, C. Mies, P. Eyerich, M. Brenner, and B. Nebel, "The DESIRE Service Robotics Initiative," KI – Zeitschrift Kuenstliche Intelligenz, no. 4, p. 29–30, 2008.

2007

• I. Bratko, D. Suc, I. Awaad, J. Demsar, P. Gemeiner, M. Guid, B. Leon, M. Mestnik, J. Prankle, E. Prassler, M. Vincze, and J. Zabkar, "Initial experiments in robot discovery in XPERO," in Workshop on Concept Learning for Embodied Agents at the IEEE International Conference on Robotics and Automation (ICRA), 2007.
• G. Indiveri, J. Paulus, and P. G. Plöger, "Task Based Kinematical Robot Control in the Presence of Actuator Velocity Saturation and Its Application to Trajectory Tracking for an Omni-wheeled Mobile Robot," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Rome, Italy, 2007.

2006

• G. Indiveri, J. Paulus, and P. G. Plöger, "Motion Control of Swedish Wheeled Mobile Robots in the Presence of Actuator Saturation," in RoboCup Symposium, Bremen, Germany, 2006.
• S. Olufs, F. Adolf, R. Hartanto, and P. G. Plöger, "Towards Probabilistic Shape Vision in RoboCup: A Practical Approach," in RoboCup Symposium, Bremen, Germany, 2006.
• T. Wisspeintner, A. Bose, and P. G. Plöger, "Robot Prototyping for Rough Terrain Applications and High Mobility with VolksBot RT," in Proceedings of Safety, Security and Rescue Robotics, 2006.

2005

• M. Salmen and P. G. Plöger, "Echo State Networks used for Motor Control," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2005. https://ieeexplore.ieee.org/document/1570399
• T. van der Zant and P. G. Plöger, "Lightweight Management – Taming the RoboCup Development Process," in RoboCup Symposium, Osaka, Japan, 2005. https://link.springer.com/chapter/10.1007/11780519_56

2004

• K. Ishii, T. van der Zant, P. G. Plöger, and V. Becanovic, "Identification of Motion with Echo State Network," in Oceans’04, 2004. https://ieeexplore.ieee.org/document/1405751

2003

• J. Ji, G. Indiveri, P. G. Plöger, and A. Bredenfeld, "An Omni-Vision based Self-Localization Method for Soccer Robot," in Proceedings of the IEEE Intelligent Vehicles Symposium, Columbus, Ohio, USA, 2003. https://ieeexplore.ieee.org/document/1212922
• P. G. Plöger, A. Arghir, T. Guenther, and R. Hosseiny, "Echo State Networks for Mobile Robot Modeling and Control," in Proceedings of the RoboCup Symposium, Paduva, Italy, 2003. https://link.springer.com/chapter/10.1007/978-3-540-25940-4_14

2002

• V. Becanovic, A. Bredenfeld, and P. G. Plöger, "Reactive Robot Control using Optical Analog VLSI Sensors," in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2002. https://ieeexplore.ieee.org/document/1014710
• V. Becanovic, G. Indiveri, H. -U. Kobialka, and P. G. Plöger, "Silicon Retina Sensing guided by Omni-directional Vision," in Mechatronics and Machine Vision, 2002.
• V. Becanovic, G. Indiveri, H. -U. Kobialka, P. G. Plöger, and A. Stocker, "Silicon Retina Sensing guided by Omni-directional Vision," in Mechatronics and Machine Vision in Practice, 2002. https://www.sas.upenn.edu/~astocker/lab/publications-files/conferences/…

2000

• A. Bredenfeld, T. Christaller, W. Goehring, H. Guenther, H. Jaeger, H. -U. Kobialka, P. G. Plöger, P. Schoell, A. Siegberg, A. Streit, C. Verbeek, and J. Wilberg, "Behavior Engineering with ‘Dual Dynamics’ Models and Design Tools," in RoboCup-99: Robot Soccer World Cup III, 2000. https://link.springer.com/chapter/10.1007/3-540-45327-X_18

1999

• A. Bredenfeld, T. Christaller, W. Goehring, H. Guenther, H. Jaeger, H. -U. Kobialka, P. G. Plöger, P. Schoell, A. Siegberg, A. Streit, C. Verbeek, and J. Wilberg, "Behavior Engineering with "Dual Dynamics" Models and Design Tools," in 16th International Joint Conference on Artificial Intelligence (IJCAI) Workshop ABS-4 Third International Workshop on RoboCup, 1999.