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. PDF
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 PDF
2020
Bastien R., Romanczuk P.
“A model of collective behavior based purely on vision.” Science Advances 6, 6, eaay0792, 2020 PDF
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) PDF
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 PDF
Coelho Mollo, D. “Against Computational Perspectivalism” The British Journal for the Philosophy of Science, axz036 PDF
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 PDF
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 PDF
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.” PDF
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 PDF
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. PDF
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 PDF
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 PDF
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 PDF
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 PDF
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 PDF
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 PDF
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 PDF
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 PDF
