Articles & Papers
Stefanec, M., Hofstadler, D. N., Krajník, T., Turgut, A. E., Alemdar, H., Lennox, B., … & Schmickl, T. (2022). A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees. Frontiers in Robotics and AI, 9. https://doi.org/10.3389/frobt.2022.791921
Smith, M. L., Davidson, J. D., Wild, B., Dormagen, D. M., Landgraf, T., & Couzin, I. D. (2022). Behavioral variation across the days and lives of honey bees. Iscience, 25(9), 104842. https://doi.org/10.3389/frobt.2022.791921
Zacepins, A., Ozols, N., Kviesis, A., Gailis, J., Komasilovs, V., Komasilova, O., & Zagorska, V. (2022). Evaluation of the honey bee colonies weight gain during the intensive foraging. https://doi.org/10.15159/ar.22.017
Ilgun, A., Schmickl, T. Mycelial Beehives of HIVEOPOLIS: Designing and Building Therapeutic Inner Nest Environments for Honeybees. Biomimetics 7(2), 75, 2022. https://doi.org/10.3390/biomimetics7020075
Wild, B., Dormagen, D.M., Zachariae, A., Smith ,M.L., Traynor K.S., Brockmann, D., Couzin, I.D., Landgraf, T. Social networks predict the life and death of honey bees. Nature Communications 12, Article number: 1110, 2021. https://doi.org/10.1038/s41467-021-21212-5
Stefanec, M., Oberreiter, H., Becher, M.A., Haase, G., Schicke, T. Effects of Sinusoidal Vibrations on the Motion Response of Honeybees. Frontiers in Physics 9, 2021. https://doi.org/10.3389/fphy.2021.670555
Schmickl, T., Szopek, M., Mondana, F., Mills, R., Stefania, M., Hofstadler, D.N., Lazio, D., Barmak, R., Bonnet, F., Zahadat, P. Social Integrating Robots Suggest Mitigation Strategies for Ecosystem Decay. Frontiers in Bioengineering and Biotechnology 9, 2021. https://doi.org/10.3389/fbioe.2021.612605
Landgraf, T., Gebhardt, H.W.G., 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 4(1), pp.487–507, 2021. https://doi.org/10.1146/annurev-control-061920-103228
Ilgün A. et al. Bio-Hybrid Systems for Ecosystem Level Effects. In: Artificial Life Conference Proceedings. ALIFE 2021: The 2021 Conference on Artificial Life. 2021. https://doi.org/10.1162/isal_a_00396
Schmickl, T., Zahadat, P., Hamann, H. Wankelmut: A Simple Benchmark for the Evolvability of Behavioral Complexity. Applied Sciences 11(5), 1994, 2021. https://doi.org/10.3390/app11051994
Komasilova, O., Komasilovs, V., Kviesis, A., Zacepins, A. Model for finding the number of honey bee colonies needed for the optimal foraging process in a specific geographical location. PeerJ Life & Environment 9:e12178. 2021. https://doi.org/10.7717/peerj.12178
Szopek, M., Thenius R., Stefanec, M., Hofstadler, D., Varughese, J., Vorgin, M., Radspieler, G., Schmickl, T. Autonome Roboterschwärme als Stabilisatoren Gefährdeter Ökosysteme. Navigationen 21, 2021, pp.150-181. http://dx.doi.org/10.25819/ubsi/9913
Komasilova, O., Komasilovs, V., Kviesis, A., and Zacepins, A. Modeling of the Potential Honey Bee Colony Foraging Activity Based on the Agrometeorogical Factors. Baltic J. Modern Computing 9(3), pp.280-289, 2021. https://doi.org/10.22364/bjmc.2021.9.3.04
Nicolis, S.C., Martín, M.C., Campo, A., Deneubourg, J.-L. Control of collective behaviours through artificial feedbacks. In: Artificial Life Conference Proceedings. ALIFE 2021: The 2021 Conference on Artificial Life. Online. 2021. https://doi.org/10.1162/isal_a_00403
Taliaronak, V., Mellmann, H., Hafner, V.V. Simulation of Interactions between Beehives. In: The 29th International Workshop on Concurrency, Specification and Programming Proceedings. CS&P’21. ISSN 1613-0073, 2951, pp. 106-112. http://ceur-ws.org/Vol-2951/paper9.pdf
Puzynin, E., Mellmann, H., Hafner, V.V. A Novel Mobile App for the Next Generation of Beekeepers. In: The 29th International Workshop on Concurrency, Specification and Programming Proceedings. CS&P’21. ISSN 1613-0073, 2951, pp. 113-116. http://ceur-ws.org/Vol-2951/paper12.pdf
Szopek, M., Stokanic, V., Radspieler, G., Schmickl, T. Simple Physical Interactions Yield Social Self-Organization in Honeybees. Frontiers in Physics 9, 2021. https://doi.org/10.3389/fphy.2021.670317
Mellmann, H., Schlotter, B., Musiolek, L. and Hafner, V.V. Anticipation as a Mechanism for Complex Behavior in Artificial Agents. In: Artificial Life Conference Proceedings. ALIFE 2020: The 2020 Conference on Artificial Life. 2020. pp.157-159, MIT Press. 2020. https://doi.org/10.1162/isal_a_00314
Komasilova, O., Komasilovs, V., Kviesis, A., Bumanis, N., Mellmann, H., and Zacepins, A. Model for the Bee Apiary Location Evaluation. Agronomy Research 18(S2), pp.1350-1358, 2020.
Luneckas, T., Luneckas, M., Salem, Z., Szopek, M., Schmickl, T. Convolutional Neural Network for Honeybee Density Estimation. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp.2558–2566. 10.1109/SSCI47803.2020.9308169
Vogrin, M., Stefanec, M., Schmickl, T. Social Distancing in Robot Swarms: Modulating Exploitation and Exploration Without Signal Exchange. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp.2233-2240. 10.1109/SSCI47803.2020.9308502.
Bumanis, N., Komasilova, O., Komasilovs V., Kviesis, A., Zacepins, A. Application of Data Layering in Precision Beekeeping: The Concept. 2020 IEEE 14th International Conference Application of Information and Communication Technologies (AICT), 07-09 October 2020, Tashkent, Uzbekistan. (Virtual mode). 10.1109/AICT50176.2020.9368733
Bumanis, N. Data Fusion Challenges in Precision Beekeeping: a Review. In Proceedings of the International Scientific Conference “Research for Rural Development 2020″ (RRD), 2020.