129 Publikationen
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2022 | Konferenzbeitrag | PUB-ID: 2964379Lach, L.M., et al., 2022. Bio-Inspired Grasping Controller for Sensorized 2-DoF Grippers. In Proceedings IROS.PUB
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956099Melnik, A., et al., 2021. Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks. Frontiers in Robotics and AI, 8: 538773.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2945542Meier, M., Haschke, R., & Ritter, H., 2020. From Geometries to Contact Graphs. In I. Farkas, P. Masulli, & S. Wermter, eds. Artificial Neural Networks and Machine Learning – ICANN 2020. Proceedings. Part II. Lecture Notes in Computer Science. no.12397 Cham: Springer, pp. 546-555.PUB | PDF | DOI
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2020 | Datenpublikation | PUB-ID: 2948441Leins, D., et al., 2020. Hand Gesture Recognition with Electrical Impedance Tomography (Dataset), Universität Bielefeld.PUB | Dateien verfügbar | DOI
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2019 | Konferenzbeitrag | PUB-ID: 2935541Patzelt, F., Haschke, R., & Ritter, H., 2019. Conditional WGAN for grasp generation. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN).PUB | Download (ext.)
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2019 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2937566Kõiva, R., et al., 2019. Towards high-density barometer-based tactile sensor arrays. In Workshop on New Advances in Tactile Sensation, Perception, and Learning in Robotics: Emerging Materials and Technologies for Manipulation (RoboTac 2019).PUB
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914911Walck, G., et al., 2017. Robot Self-Protection by Virtual Actuator Fatigue: Application to Tendon-driven Dexterous Hands During Grasping. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Piscataway, NJ: IEEE, pp. 2200-2205.PUB | DOI
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2908932Naceri, A., et al., 2017. Multi-digit force control during unconstrained grasping in response to object perturbations. Journal of Neurophysiology, 117(5), p 2025-2036.PUB | DOI | WoS | PubMed | Europe PMC
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904287Meier, M., et al., 2016. Tactile Convolutional Networks for Online Slip and Rotation Detection. In A. E. P. Villa, P. Masulli, & A. J. Pons Rivero, eds. Artificial Neural Networks and Machine Learning – ICANN 2016 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. Lecture Notes in Computer Science. no.9887 Cham: Springer, pp. 12-19.PUB | PDF | DOI
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920728Krieger, K., et al., 2016. Shape Features of the Search Target Modulate Hand Velocity, Posture and Pressure during Haptic Search in a 3D Display. In F. Bello, H. Kajimoto, & Y. Visell, eds. Haptics: Perception, Devices, Control, and Applications. 10th International Conference, EuroHaptics 2016, London, UK, July 4-7, 2016, Proceedings, Part I. Lecture Notes in Computer Science. no.9774 Cham: Springer, pp. 134-145.PUB | DOI
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905940Li, Q., Haschke, R., & Ritter, H., 2016. Learning a Tool’s Homogeneous Transformation by Tactile-based Interaction. In T. Asfour & B. Aude, eds. Humanoids 2016 : IEEE-RAS International Conference on Humanoid Robots. Piscataway, NJ: IEEE, pp. 416-421.PUB | PDF | DOI
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905863Kõiva, R., et al., 2016. Fingernail with static and dynamic force sensing. Presented at the Humanoids 2016 Workshop "Tactile sensing for manipulation: new progress and challenges", Cancun, Mexico.PUB | PDF | Download (ext.)
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2016 | Konferenzbeitrag | Im Druck | PUB-ID: 2904286Li, Q., Haschke, R., & Ritter, H., In Press. Robot Learns to Use Tactile Tool Interacting with Unknown Object. Presented at the DGR days2016, Leipzig, Germany.PUB
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2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2726548Haschke, R., 2015. Grasping and Manipulation of Unknown Objects Based on Visual and Tactile Feedback. In G. Carbone & F. Gomez-Bravo, eds. Motion and Operation Planning of Robotic Systems. Mechanisms and Machine Science. no.29 Switzerland: Springer, pp. 91-109.PUB | PDF | DOI
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2731538Li, Q., Haschke, R., & Ritter, H., 2015. A Visuo-Tactile Control Framework for Manipulation and Exploration of Unknown Objects. In T. Asfour, ed. 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids). Piscataway, NJ: IEEE.PUB | PDF | DOI
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904289Büscher, G., et al., 2015. Augmenting curved robot surfaces with soft tactile skin. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Piscataway, NJ: Institute of Electrical & Electronics Engineers (IEEE), pp. 1514-1519.PUB | PDF | DOI
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2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2693396Meier, M., Haschke, R., & Ritter, H., 2015. Learning Gestalt Formations for Oscillator Networks. In P. Koprinkova-Hristova, V. Mladenov, & N. K. Kasabov, eds. Artificial Neural Networks. Methods and Applications in Bio-/Neuroinformatics . Springer Series in Bio-/Neuroinformatics. no.4 Cham: Springer, pp. 127-147.PUB | DOI
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2693391Meier, M., Haschke, R., & Ritter, H., 2014. The impact of frequency distributions in a perceptual grouping oscillator network. In B. Hammer, T. Martinez, & T. Villmann, eds. Workshop New Challenges in Neural Computation 2014. Machine Learning Reports. no.2014 Bielefeld: Universität Bielefeld, Technische Fakultät, pp. 11-14.PUB | PDF
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2651250Meier, M., Haschke, R., & Ritter, H., 2014. Perceptual Grouping by Entrainment in Coupled Kuramoto Oscillator Networks. Network: Computation in Neural Systems, 25(1-2), p 72-84.PUB | DOI | WoS | PubMed | Europe PMC
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2737409Ückermann, A., et al., 2014. Real-Time Hierarchical Scene Segmentation and Classification. In 2014 IEEE-RAS International Conference on Humanoid Robots. Piscataway, NJ: IEEE, pp. 225-231.PUB | DOI | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2561929Meier, M., Haschke, R., & Ritter, H., 2013. Perceptual Grouping through Competition in Coupled Oscillator Networks. In M. Verleysen, ed. Proceedings - 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Louvain-la-Neuve : Ciaco .PUB | PDF | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2614611Meier, M., Haschke, R., & Ritter, H., 2013. Anticipating Intentions as Gestalt Formation: A Model Based on Neural Competition. In B. Hammer, T. Martinez, & T. Villmann, eds. Workshop New Challenges in Neural Computation 2013. Machine Learning Reports. no.2013 Bielefeld: Universität Bielefeld, Technische Fakultät, pp. 43-52.PUB | PDF
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2622466Vukanovicz, S., et al., 2013. Learning the Appropriate Model Population Structures for Locally Weighted Regression. In Workshop New Challenges in Neural Computation 2013. Machine Learning Reports. no.2013 Bielefeld: Universität Bielefeld, pp. 87.PUB
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2013 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2580653Ückermann, A., Haschke, R., & Ritter, H., 2013. Real-Time 3D Segmentation with Structured Light Camera. Presented at the Interactive Perception Workshop at IEEE International Conference on Robotics and Automation (ICRA 2013), Karlsruhe, Germany.PUB
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2013 | Zeitschriftenaufsatz | Eingereicht | PUB-ID: 2566393Li, Q., et al., Submitted. Towards Dexterous In-Hand Manipulation of Unknown Objects: Tactile Controllers for Surface Exploration. Autonomous Robots.PUB
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2580651Meier, M., Haschke, R., & Ritter, H., 2013. Learning of Lateral Interactions for Perceptual Grouping employing Information Gain. Lecture Notes in Computer Science, 8131, , p 178-185.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2528546Meier, M., Haschke, R., & Ritter, H., 2012. Reification through Perceptual Grouping. In 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012). Osaka, Japan, pp. 612-617.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2546877Elbrechter, C., Haschke, R., & Ritter, H., 2012. Folding Paper with Anthropomorphic Robot Hands using Real-Time Physics-Based Modeling. In 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012). Piscataway, NJ: IEEE.PUB | PDF | DOI
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2425561Dornbusch, D., et al., 2012. Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. Presented at the International Conference on Pattern Recognition Applications and Methods, Vilamoura, Algarve, Portugal.PUB | DOI
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2713960Li, Q., et al., 2012. Towards Unknown Objects Manipulation. In Proceedings of the 10th International IFAC Symposium on Robot Control (SYROCO '12). no.10 Dubrovnik, Croatia, pp. 289-294.PUB
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2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2306886Schöpfer, M., et al., 2012. Identifying Relevant Tactile Features for Object Identification. In E. Prassler, et al., eds. Towards Service Robots for Everyday Environments. Recent Advances In Designing Service Robots For Complex Tasks In Everyday Environments. Springer Tracts in Advanced Robotics. no.76 Berlin: Springer, pp. 417-430.PUB | DOI | WoS
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2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2306867Schürmann, C., et al., 2012. A High-Speed Tactile Sensor for Slip Detection. In E. Prassler, et al., eds. Towards Service Robots for Everyday Environments. Springer Tracts in Advanced Robotics. no.76 Berlin, Heidelberg: Springer, pp. 403-415.PUB | DOI | WoS
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2713950Schürmann, C., Ritter, H., & Haschke, R., 2012. Analysis of human grasping under task anticipation using a tactile book. In 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012). Osaka, Japan, pp. 773-778.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2520946Büscher, G., et al., 2012. Flexible and stretchable fabric-based tactile sensor. Presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012) Workshop on Advances in Tactile Sensing and Touch based Human-Robot Interaction, Algarve, Portugal.PUB
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2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2306896Haschke, R., Schöpfer, M., & Ritter, H., 2012. Grasping Objects of Unknown Geometry with Tactile Feedback. In E. Prassler, et al., eds. Towards Service Robots for Everyday Environments. Springer Tracts in Advanced Robotics. no.76 Berlin, Heidelberg: Springer, pp. 431-440.PUB | DOI
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2524069Schröder, M., et al., 2012. Real-Time Hand Tracking with a Color Glove for the Actuation of Anthropomorphic Robot Hands. In 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012). Osaka, Japan, pp. 262-269.PUB
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2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2306929Lütkebohle, I., et al., 2012. A Mixed-Initiative Approach to Interactive Robot Tutoring. In E. Prassler, et al., eds. Towards Service Robots for Everyday Environments. Springer Tracts in Advanced Robotics ; 76. Berlin, Heidelberg: Springer, pp. 483-502.PUB | DOI
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2033983Inden, B., et al., 2012. Evolving neural fields for problems with large input and output spaces. Neural Networks, 28, p 24-39.PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2375590Meier, M., Haschke, R., & Ritter, H., 2011. Hallucinating Image Features to Supplement Perceptual Groups. In H. Barbara & V. Thomas, eds. Workshop New Challenges in Neural Computation 2011. Machine Learning Reports. pp. 24-28.PUB | PDF | Download (ext.)
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2281366Elbrechter, C., Haschke, R., & Ritter, H., 2011. Bi-Manual Robotic Paper Manipulation Based on Real-Time Marker Tracking and Physical Modelling. In International Conference on Intelligent Robots and Systems (IROS 2011). Piscataway, NJ: IEEE.PUB | DOI
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276460Schürmann, C., Kõiva, R., & Haschke, R., 2011. A Modular High-Speed Tactile Sensor for Human Manipulation Research. In L. Jones, ed. IEEE World Haptics Conference (WHC), 2011 . Piscataway, NJ: IEEE, pp. 339-344.PUB | DOI | Download (ext.)
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2920877Barchunova, A., et al., 2011. Unsupervised Identification of Object Manipulation Operations from Multimodal Input. In B. Hammer & T. Villmann, eds. Workshop New Challenges in Neural Computation 2011. Machine Learning Reports. no.2011 pp. 42-50.PUB
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300984Inden, B., et al., 2011. Evolution of multisensory integration in large neural fields. In J. - K. Hao, et al., eds. Artificial evolution : revised selected papers. Lecture Notes in Computer Science. no.7401 Berlin ; Heidelberg: Springer-Verlag, pp. 181-192.PUB | DOI | Download (ext.)
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2300989Inden, B., et al., 2011. Exploiting inherent regularity in control of multilegged robot locomotion by evolving neural fields. In 2011 Third World Congress on Nature and Biologically Inspired Computing. IEEE Press.PUB | DOI | Download (ext.)
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2280296Maycock, J., et al., 2011. Towards an Understanding of Grasping using a Multi-Sensing Approach. In International Conference on Robotics and Automation (ICRA). Workshop: Autonomous Grasping: IEEE International Conference on Robotics and Automation: ICRA 2011, Shanghai, China, pp. 1-8.PUB
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2282173Barchunova, A., et al., 2011. Multimodal Segmentation of Object Manipulation Sequences with Product Models. Presented at the International Conference on Multimodal Interaction, Alicante.PUB
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2143849Meier, M., et al., 2011. A Probabilistic Approach to Tactile Shape Reconstruction. IEEE Transactions on Robotics, 27(3), p 630-635.PUB | DOI | Download (ext.) | WoS
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2280467Weitnauer, E., Haschke, R., & Ritter, H., 2010. Evaluating a physics engine as an ingredient for physical reasoning. In Proceedings of the Second international conference on Simulation, modeling, and programming for autonomous robots. Springer Verlag, pp. 144-155.PUB | PDF | DOI
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2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1589082McGuire, P.C., et al., 2010. The Cyborg Astrobiologist: testing a novelty detection algorithm on two mobile exploration systems at Rivas Vaciamadrid in Spain and at the Mars Desert Research Station in Utah. INTERNATIONAL JOURNAL OF ASTROBIOLOGY, 9(01), p 11-27.PUB | DOI | WoS | arXiv
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034059Behnisch, M., Haschke, R., & Gienger, M., 2010. Task Space Motion Planning Using Reactive Control. In Institute of Electrical and Electronics Engineers & Nihon Robotto Gakkai, eds. IEEE/RSJ International Conference on Intelligent Robots and Systems 2010. Piscataway, NJ: IEEE.PUB | PDF | DOI | Download (ext.)
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019022Dornbusch, D., et al., 2010. Correlating shape and functional properties using decomposition approaches. In Proc. FLAIRS-23. AAAI, pp. 398-403.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2019017Dornbusch, D., et al., 2010. Finding Correlations in Multimodal Data Using Decomposition Approaches. In Proc. ESANN 2010. Belgium: d-facto, pp. 253-258.PUB
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2009 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1996840Ritter, H., Haschke, R., & Steil, J.J., 2009. Trying to Grasp a Sketch of a Brain for Grasping. In B. Sendhoff, et al., eds. Creating Brain-Like Intelligence. From Basic Principles to Complex Intelligent Systems. Lecture Notes in Artificial Intelligence. no.5436 Berlin ; Heidelberg: Springer, pp. 84-102.PUB | PDF | DOI
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2009 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2713981Behnisch, M., Haschke, R., & Gienger, M., 2009. Sampling-based task-space planning. Presented at the Robot Learning Summer School RLSS09, Lissabon, Portugal.PUB
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996862Schürmann, C., Haschke, R., & Ritter, H., 2009. Modular high speed tactile sensor system with video interface. In Tactile sensing in Humanoids. Tactile Sensors and beyond @ IEEE-Ras Conference on Humanoid Robots (Humanoids).PUB
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2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996878Steffen, J.F., Haschke, R., & Ritter, H., 2008. Using Manifolds for Dextrous Hand Control. In Workshop on Robot Manipulation: Intelligence in Human Environments.PUB
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2481621Steffen, J.F., Haschke, R., & Ritter, H., 2007. SOM-based Experience Representation for Dextrous Grasping. In Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University.PUB | PDF | DOI
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2480227Steffen, J.F., Haschke, R., & Ritter, H., 2007. Experience-based and Tactile-driven Dynamic Grasp Control. In Proc. Int’l. Conf. on Intelligent Robots and Systems (IROS), 2007.PUB
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2007 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 1993842Ritter, H., Haschke, R., & Steil, J.J., 2007. A Dual Interaction Perspective for Robot Cognition: Grasping as a "Rosetta Stone". In B. Hammer & P. Hitzler, eds. Perspectives of Neural-Symbolic Integration. Studies in Computational Intelligence. Berlin: Springer, pp. 159-178.PUB | DOI
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2003 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142229Steil, J.J., et al., 2003. Learning issues in a multi-modal robot-instruction scenario. In Workshop on Imitation Learning.PUB | Download (ext.)
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2002 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1613269McGuire, P.C., et al., 2002. Threshold disorder as a source of diverse and complex behavior in random nets. NEURAL NETWORKS, 15(10), p 1243-1258.PUB | DOI | WoS | PubMed | Europe PMC
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2001 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1615610Haschke, R., Steil, J.J., & Ritter, H., 2001. Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. In G. Dorffner, H. Bischof, & K. Hornik, eds. Artificial Neural Networks - ICANN 2001. Lecture notes in computer science. no.2130 Springer, pp. 1109-1114.PUB | Datei | DOI | WoS