Publications

2021

Spatola, N., Chevalère, J., Lazarides, R.
“Humans vs. computer: What effect does the source of information have on cognitive performance and achievement goal orientation?”
Paladyn. Journal of Behavioral Robotics.
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Landgraf, T., Gebhardt, G.H.W., Bierbach, D., Romanczuk, P., Musiolek, L., Hafner, V.V., Krause, J.
“Animal-in-the-Loop: Using Interactive Robotic Conspecifics to Study Social Behavior in Animal Groups.”
Annual Review of Control, Robotics, and Autonomous Systems 2021 4:1
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2020

Bastien R., Romanczuk P.
“A model of collective behavior based purely on vision.”
Science Advances 6, 6, eaay0792, 2020
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Bierbach, D., Mönck, H.J., Lukas, J., Habedank, M., Romanczuk, P., Landgraf, T., Krause, J.
“Guppies prefer to follow large (robot) leaders irrespective of own size.”
Frontiers in Bioengineering and Biotechnology, section Bionics and Biomimetics (in press 2020)
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Bierbach, D., Krause, S., Romanczuk, P., Lukas, J., Arias-Rodriguez, L., Krause, J.
“An interaction mechanism for the maintenance of fission–fusion dynamics under different individual densities.”
PeerJ 8:e8974 2020
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Coelho Mollo, D.
“Against Computational Perspectivalism”
The British Journal for the Philosophy of Science, axz036
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Coelho Mollo, D.
“Deflationary Realism: Representation and Idealisation in Cognitive Science.”
Accepted by Mind & Language
Link to self-archived submitted version

Jolles, J.W., Weimar, N., Landgraf, T., Romanczuk, P., Krause, J., Bierbach, D.
“Group-level patterns emerge from individual speed as revealed by an extremely social robotic fish.”
bioRxiv: 2020.2006.2010.143883, 2020
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Kirtay, M., Wudarczyk, O., Pischedda, D., Kuhlen, A.K., Abdel Rahman, R., Haynes, J.D., Hafner, V.
“Modeling robot co-representation: State-of-the-art, open issues, and predictive learning as a possible framework.”
2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 1–8. 2020
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Landgraf, T., Moenck, H.J., Gebhardt, G.H.W., Weimar, N., Hocke, M., Maxeiner, M., Musiolek, L., Krause, J., Bierbach D.
“Socially competent robots: adaptation improves leadership performance in groups of live fish.”
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Lukas, J., Kalinkat, G., Miesen, F.W., Landgraf, T., Krause, J., Bierbach D.
“Consistent behavioural syndromes across seasons in an invasive freshwater fish.”
bioRxiv 2020.03.03.974998, 2020; doi
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Mellmann, H., Schlotter, B., Musiolek, L., Hafner, V.
“Anticipation as a Mechanism for Complex Behavior in Artificial Agents.”
ALIFE2020, The 2020 Conference on Artificial Life. MIT Press (2020 Accepted)

Musiolek, L., Hafner, V., Krause, J., Landgraf, T., Bierbach, D.
“Robofish as Social Partner for Live Guppies.”
In: Vouloutsi V., Mura A., Tauber F., Speck T., Prescott T.J., Verschure P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2020. Lecture Notes in Computer Science, vol 12413. Springer, Cham.
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Rahmani, P., Peruani, F., Romanczuk, P.
“Flocking in Complex Environments – Attention Trade-offs in Collective Information Processing”
PLoS Computational Biology, accepted, 2020

Spatola, N., Wudarczyk, O.
“Implicit Attitudes Towards Robots Predict Explicit Attitudes, Semantic Distance Between Robots and Humans, Anthropomorphism, and Prosocial Behavior: From Attitudes to Human–Robot Interaction.”
International Journal of Social Robotics, 1-11

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Yun, H.S., Karl, M., Fortenbacher, A.
“Designing an interactive second language learning scenario: a case study of Cozmo.”
Proceedings of HCI Korea, pp 384-387, 2020
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2019

Andresen, N., Wöllhaf, M., Hohlbaum, K., Lewejohann, L., Hellwich, O., Thöne-Reineke, C., Belik, V.
“Towards a fully automated surveillance of well-being status in laboratory mice using deep learning.”
bioRxiv 582817, 2019
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Galbusera, L., Finn, M.T.M., Tschacher W., Kyselo, M.
“Interpersonal synchrony feels good but impedes self-regulation of affect.”
Scientific Reports 9, Article number: 14691, 2019
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Kurvers, R.H.J.M., Herzog, S.M., Hertwig, R., Krause, J., Moussaid, M., Argenziano, G., Zalaudek, I., Carney P.A., Wolf, M.
“How to detect high performing individuals and groups: decision similarity predicts accuracy.”
Science Advances, 5, 11, eaaw9011, 2019
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Morik M., Rastogi, D., Jonschkowski, R., Brock, O.
“State Representation Learning with Robotic Priors for Partially Observable Environments.”
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
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Sosna, M.M.G., Twomey, C.R., Bak-Coleman, J., Poel, W., Daniels, B.C., Romanczuk, P., Couzin, I.D.
Proceedings of the National Academy of Sciences 116, 41, 20556-20561, 2019
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Wall, V., Brock, O.
“Multi-Task Sensorization of Soft Actuators Using Prior Knowledge.”
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 9416–9421, 2019

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