Publications

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2021

  1. Wild, B., Dormagen, D. M., Zachariae, A., Smith, M. L., Traynor, K. S., Brockmann, D., Couzin, I. D., & Landgraf, T. (2021). Social networks predict the life and death of honey bees. Nature Communications, 12(1), 1110. https://doi.org/10.1038/s41467-021-21212-5 Link>
  2. Landgraf, T., Gebhardt, G. H. W., Bierbach, D., Romanczuk, P., Musiolek, L., Hafner, V. V., & Krause, J. (2021). Animal-in-the-Loop: Using Interactive Robotic Conspecifics to Study Social Behavior in Animal Groups. Annual Review of Control, Robotics, and Autonomous Systems, 4(1), null. https://doi.org/10.1146/annurev-control-061920-103228 Link>
  3. Lukas, J., Kalinkat, G., Miesen, F. W., Landgraf, T., Krause, J., & Bierbach, D. (2021). Consistent Behavioral Syndrome Across Seasons in an Invasive Freshwater Fish. Frontiers in Ecology and Evolution, 8. https://doi.org/10.3389/fevo.2020.583670 Link>
  4. Smith, M. L., Davidson, J. D., Wild, B., Dormagen, D. M., Landgraf, T., & Couzin, I. D. (2021). The dominant axes of lifetime behavioral variation in honey bees. BioRxiv, 2021.04.15.440020. https://doi.org/10.1101/2021.04.15.440020 Link>
  5. Worm, M., Landgraf, T., & von der Emde, G. (2021). Electric signal synchronization as a behavioural strategy to generate social attention in small groups of mormyrid weakly electric fish and a mobile fish robot. Biological Cybernetics. https://doi.org/10.1007/s00422-021-00892-8 Link>
  6. Paffhausen, B. H., Petrasch, J., Wild, B., Meurers, T., Schülke, T., Polster, J., Fuchs, I., Drexler, H., Kuriatnyk, O., Menzel, R., & Landgraf, T. (2021). A flying platform to investigate neuronal correlates of navigation in the honey bee (Apis mellifera). Frontiers in Behavioral Neuroscience, 15. https://doi.org/10.3389/fnbeh.2021.690571 Link>
  7. Ilgün, A., Angelov, K., Stefanec, M., Schönwetter-Fuchs, S., Stokanic, V., Vollmann, J., Hofstadler, D. N., Kärcher, M. H., Mellmann, H., Taliaronak, V., Kviesis, A., Komasilovs, V., Becher, M. A., Szopek, M., Dormagen, D. M., Barmak, R., Bairaktarov, E., Broisin, M., Thenius, R., … Schmickl, T. (2021, July). Bio-Hybrid Systems for Ecosystem Level Effects. https://doi.org/10.1162/isal_a_00396 Link>
  8. Bierbach, D., Francisco, F., Lukas, J., Landgraf, T., Maxeiner, M., Romanczuk, P., Musiolek, L., Hafner, V. V., & Krause, J. (2021, July). Biomimetic robots promote the 3Rs Principle in animal testing. https://doi.org/10.1162/isal_a_00375 Link>
  9. Klamser, P. P., Gómez-Nava, L., Landgraf, T., Jolles, J. W., Bierbach, D., & Romanczuk, P. (2021). Impact of Variable Speed on Collective Movement of Animal Groups. ArXiv:2106.00959 [Physics, q-Bio]. http://arxiv.org/abs/2106.00959 Link>
  10. Wild, B., Dormagen, D. M., Smith, M. L., & Landgraf, T. (2021). Learning to embed lifetime social behavior from interaction dynamics (p. 2021.09.01.458538). https://doi.org/10.1101/2021.09.01.458538 Link>
  11. Doran, C., Bierbach, D., Lukas, J., Klamser, P., Landgraf, T., Klenz, H., Habedank, M., Arias-Rodriguez, L., Krause, S., Romanczuk, P., & Krause, J. (2021). Fish waves as emergent collective antipredator behavior. Current Biology, 0(0). https://doi.org/10.1016/j.cub.2021.11.068 Link>

2020

  1. Schulz, K., Sixt, L., Tombari, F., & Landgraf, T. (2020). Restricting the Flow: Information Bottlenecks for Attribution. http://arxiv.org/abs/2001.00396 Link>
  2. Wild, B., Dormagen, D. M., Zachariae, A., Smith, M. L., Traynor, K. S., Brockmann, D., Couzin, I. D., & Landgraf, T. (2020). Social networks predict the life and death of honey bees (p. 2020.05.06.076943). https://www.biorxiv.org/content/10.1101/2020.05.06.076943v1 Link>
  3. Sixt, L., Granz, M., & Landgraf, T. (2020). When Explanations Lie: Why Many Modified BP Attributions Fail. Proceedings of the International Conference on Machine Learning, 1. https://proceedings.icml.cc/paper/2020/hash/af21d0c97db2e27e13572cbf59eb343d Link>
  4. Bierbach, D., Mönck, H. J., Lukas, J., Habedank, M., Romanczuk, P., Landgraf, T., & Krause, J. (2020). Guppies Prefer to Follow Large (Robot) Leaders Irrespective of Own Size. Frontiers in Bioengineering and Biotechnology, 8. https://doi.org/10.3389/fbioe.2020.00441 Link>
  5. Wario, F., Wild, B., Dormagen, D., Landgraf, T., & Trianni, V. (2020). Motion Dynamics of Foragers in Honey Bee Colonies. In M. Dorigo, T. Stützle, M. J. Blesa, C. Blum, H. Hamann, M. K. Heinrich, & V. Strobel (Eds.), Swarm Intelligence (pp. 203–215). Springer International Publishing. https://doi.org/10.1007/978-3-030-60376-2_16
  6. Jolles, J. W., Weimar, N., Landgraf, T., Romanczuk, P., Krause, J., & Bierbach, D. (2020). Group-level patterns emerge from individual speed as revealed by an extremely social robotic fish. Biology Letters, 16(9), 20200436. https://doi.org/10.1098/rsbl.2020.0436 Link>
  7. Landgraf, T., Moenck, H. J., Gebhardt, G. H. W., Weimar, N., Hocke, M., Maxeiner, M., Musiolek, L., Krause, J., & Bierbach, D. (2020). Socially competent robots: adaptation improves leadership performance in groups of live fish. ArXiv:2009.06633 [Cs]. http://arxiv.org/abs/2009.06633 Link>
  8. Musiolek, L., Hafner, V. V., Krause, J., Landgraf, T., & Bierbach, D. (2020). Robofish as Social Partner for Live Guppies. In V. Vouloutsi, A. Mura, F. Tauber, T. Speck, T. J. Prescott, & P. F. M. J. Verschure (Eds.), Biomimetic and Biohybrid Systems (pp. 270–274). Springer International Publishing. https://doi.org/10.1007/978-3-030-64313-3_26

2019

  1. Paffhausen, B., Petrasch, J., Wild, B., Fuchs, I., Drexler, H., Kuriatnyk, O., Meurers, T., Landgraf, T., & Menzel, R. (2019). Neural correlates of mushroom body output neurons measured during flight of a harnessed honey bee on a quad copter.
  2. Schulz, K., Sixt, L., Tombari, F., & Landgraf, T. (2019, September). Restricting the Flow: Information Bottlenecks for Attribution. https://openreview.net/forum?id=S1xWh1rYwB Link>
  3. Menzel, R., Tison, L., Fischer-Nakai, J., Cheeseman, J., Balbuena, M. S., Chen, X., Landgraf, T., Petrasch, J., Polster, J., & Greggers, U. (2019). Guidance of Navigating Honeybees by Learned Elongated Ground Structures. Frontiers in Behavioral Neuroscience, 12. https://doi.org/10.3389/fnbeh.2018.00322 Link>

2018

  1. Bierbach, D., Lukas, J., Bergmann, A., Elsner, K., Höhne, L., Weber, C., Weimar, N., Arias-Rodriguez, L., Mönck, H. J., Nguyen, H., Romanczuk, P., Landgraf, T., & Krause, J. (2018). Insights into the Social Behavior of Surface and Cave-Dwelling Fish (Poecilia mexicana) in Light and Darkness through the Use of a Biomimetic Robot. Frontiers in Robotics and AI, 5. https://doi.org/10.3389/frobt.2018.00003 Link>
  2. Landgraf, T., Bierbach, D., Kirbach, A., Cusing, R., Oertel, M., Lehmann, K., Greggers, U., Menzel, R., & Rojas, R. (2018). Dancing Honey bee Robot Elicits Dance-Following and Recruits Foragers.
  3. Mönck, H. J., Jörg, A., von Falkenhausen, T., Tanke, J., Wild, B., Dormagen, D., Piotrowski, J., Winklmayr, C., Bierbach, D., & Landgraf, T. (2018). BioTracker: An Open-Source Computer Vision Framework for Visual Animal Tracking.
  4. Müller, J., Nawrot, M., Menzel, R., & Landgraf, T. (2018). A neural network model for familiarity and context learning during honeybee foraging flights. Biological Cybernetics, 112(1-2), 113–126. https://doi.org/10.1007/s00422-017-0732-z Link>
  5. Menzel, R., Tison, L., Fischer-Nakai, J., Cheeseman, J., Lehmann, K., Balbuena, M. S., Chen, X., Landgraf, T., Petrasch, J., & Greggers, U. (2018). Honeybees are Guided by Learned Elongated Ground Structures. Frontiers in Behavioral Neuroscience, 12. https://doi.org/10.3389/fnbeh.2018.00322 Link>
  6. Polster, J., Petrasch, J., Menzel, R., & Landgraf, T. (2018). Reconstructing the visual perception of honey bees in complex 3-D worlds. http://arxiv.org/abs/1811.07560 Link>
  7. Bierbach, D., Landgraf, T., Romanczuk, P., Lukas, J., Nguyen, H., Wolf, M., & Krause, J. (2018). Using a robotic fish to investigate individual differences in social responsiveness in the guppy. Royal Society Open Science, 5(8), 181026. https://doi.org/10.1098/rsos.181026 Link>
  8. Wild, B., Sixt, L., & Landgraf, T. (2018). Automatic localization and decoding of honeybee markers using deep convolutional neural networks. http://arxiv.org/abs/1802.04557 Link>
  9. Boenisch, F., Rosemann, B., Wild, B., Dormagen, D., Wario, F., & Landgraf, T. (2018). Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence. Frontiers in Robotics and AI, 5. https://doi.org/10.3389/frobt.2018.00035 Link>
  10. Worm, M., Landgraf, T., Prume, J., Nguyen, H., Kirschbaum, F., & Emde, G. von der. (2018). Evidence for mutual allocation of social attention through interactive signaling in a mormyrid weakly electric fish. Proceedings of the National Academy of Sciences, 115(26), 6852–6857. https://doi.org/10.1073/pnas.1801283115 Link>
  11. Boenisch, F., Rosemann, B., Wild, B., Wario, F., Dormagen, D., & Landgraf, T. (2018). Tracking all members of a honey bee colony over their lifetime. http://arxiv.org/abs/1802.03192 Link>
  12. Sixt, L., Wild, B., & Landgraf, T. (2018). RenderGAN: Generating Realistic Labeled Data. Frontiers in Robotics and AI, 5. https://doi.org/10.3389/frobt.2018.00066 Link>

2017

  1. Landgraf, T., & Nawrot, M. (2017). Künstliche Mini-Gehirne für Roboter. In Planen und Handeln (pp. 135–150). Springer Spektrum, Wiesbaden.
  2. Lam, C., Li, Y., Landgraf, T., & Nieh, J. (2017). Dancing attraction: followers of honey bee tremble and waggle dances exhibit similar behaviors. Biology Open, bio–025445.
  3. Sixt, L., Wild, B., & Landgraf, T. (2017). RenderGAN: Generating Realistic Labeled Data. http://arxiv.org/abs/1611.01331 Link>
  4. Wario, F., Wild, B., Rojas, R., & Landgraf, T. (2017). Automatic detection and decoding of honey bee waggle dances. PLOS ONE, 12(12), e0188626. https://doi.org/10.1371/journal.pone.0188626 Link>

2016

  1. Landgraf, T., Bierbach, D., Nguyen, H., Muggelberg, N., Romanczuk, P., & Krause, J. (2016). RoboFish: increased acceptance of interactive robotic fish with realistic eyes and natural motion patterns by live Trinidadian guppies. Bioinspiration & Biomimetics, 11(1), 015001.

2015

  1. Wario, F., Wild, B., Couvillon, M. J., Rojas, R., & Landgraf, T. (2015). Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees. Frontiers in Ecology and Evolution, 3. https://doi.org/10.3389/fevo.2015.00103

2014

  1. Jin, N., Landgraf, T., Klein, S., & Menzel, R. (2014). Walking bumblebees memorize panorama and local cues in a laboratory test of navigation. Animal Behaviour, 97, 13–23. http://www.sciencedirect.com/science/article/pii/S0003347214003273 Link>
  2. Worm, M., Landgraf, T., Nguyen, H., & von der Emde, G. (2014). Electro-communicating dummy fish initiate group behavior in the weakly electric fish Mormyrus rume. Conference on Biomimetic and Biohybrid Systems, 446–448.
  3. Landgraf, T., Nguyen, H., Schröer, J., Szengel, A., Clément, R. J. G., Bierbach, D., & Krause, J. (2014). Blending in with the shoal: robotic fish swarms for investigating strategies of group formation in guppies. Conference on Biomimetic and Biohybrid Systems, 178–189.

2013

  1. Landgraf, T. (2013). RoboBee: A Biomimetic Honeybee Robot for the Analysis of the Dance Communication System [PhD thesis, Berlin, Freie Universität Berlin, 2013]. http://www.diss.fu-berlin.de/diss/receive/FUDISS_thesis_000000094818?lang=de Link>
  2. Landgraf, T., Wild, B., Ludwig, T., Nowak, P., Helgadottir, L., Daumenlang, B., Breinlinger, P., Nawrot, M., & Rojas, R. (2013). NeuroCopter: neuromorphic computation of 6D ego-motion of a quadcopter. Conference on Biomimetic and Biohybrid Systems, 143–153. http://link.springer.com/chapter/10.1007/978-3-642-39802-5_13 Link>
  3. Landgraf, T., Nguyen, H., Forgo, S., Schneider, J., Schröer, J., Krüger, C., Matzke, H., Clément, R. O., Krause, J., & Rojas, R. (2013). Interactive robotic fish for the analysis of swarm behavior. International Conference in Swarm Intelligence, 1–10. http://link.springer.com/chapter/10.1007/978-3-642-38703-6_1 Link>
  4. Helgadóttir, L. I., Haenicke, J., Landgraf, T., Rojas, R., & Nawrot, M. P. (2013). Conditioned behavior in a robot controlled by a spiking neural network. Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference On, 891–894. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6696078 Link>

2012

  1. Landgraf, T., Oertel, M., Kirbach, A., Menzel, R., & Rojas, R. (2012). Imitation of the honeybee dance communication system by means of a biomimetic robot. Conference on Biomimetic and Biohybrid Systems, 132–143. http://link.springer.com/chapter/10.1007/978-3-642-31525-1_12 Link>
  2. Landgraf, T., Akkad, R., Nguyen, H., Clément, R. O., Krause, J., & Rojas, R. (2012). A Multi-agent Platform for Biomimetic Fish. Conference on Biomimetic and Biohybrid Systems, 365–366. http://link.springer.com/chapter/10.1007/978-3-642-31525-1_44 Link>
  3. Helgadottir, L. I., Haenicke, J., Landgraf, T., & Nawrot, M. P. (2012). A Robotic Platform for Spiking Neural Control Architectures. Bernstein Conference 2012, Munich, Germany, 12 Sep - 14 Sep, 2012., 154.

2011

  1. Landgraf, T., Rojas, R., Nguyen, H., Kriegel, F., & Stettin, K. (2011). Analysis of the Waggle Dance Motion of Honeybees for the Design of a Biomimetic Honeybee Robot. PLoS ONE, 6(8), e21354. https://doi.org/10.1371/journal.pone.0021354 Link>
  2. Meyer, J., Haenicke, J., Landgraf, T., Schmuker, M., Rojas, R., & Nawrot, M. (2011). A digital receptor neuron connecting remote sensor hardware to spiking neural networks. BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011, Freiburg, Germany, 4 Oct - 6 Oct, 2011.
  3. Landgraf, T. (2011). Blending into the Hive: A Novel Biomimetic Honeybee Robot for the Analysis of the Dance Communication System. International Workshop on Bio-Inspired Robots, Nantes April 6-8.

2007-2010

  1. Hussaini, S. A., Bogusch, L., Landgraf, T., & Menzel, R. (2009). Sleep deprivation affects extinction but not acquisition memory in honeybees. Learning & Memory, 16(11), 698–705. http://learnmem.cshlp.org/content/16/11/698.short Link>
  2. Landgraf, T., Moballegh, H., & Rojas, R. (2008). Design and development of a robotic bee for the analysis of honeybee dance communication. Applied Bionics and Biomechanics, 5(3), 157–164. http://www.tandfonline.com/doi/abs/10.1080/11762320802617552 Link>
  3. Landgraf, T., & Rojas, R. (2007). Tracking honey bee dances from sparse optical flow fields. http://www.diss.fu-berlin.de/docs/servlets/MCRFileNodeServlet/FUDOCS_derivate_000000000829/2007_11.pdf Link>
  4. Landgraf, T., Oertel, M., Rhiel, D., & Rojas, R. (2010). A biomimetic honeybee robot for the analysis of the honeybee dance communication system. Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference On, 3097–3102.