Articles & Papers

Bumanis, N. Data Fusion Challenges in Precision Beekeeping: a Review. In Proceedings of  the International Scientific Conference “Research for Rural Development 2020″ (RRD), 2020.

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 

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.

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. 

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

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

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

Lazic, D., Schmickl, T. Can Robots Inform a Honeybee Colony’s Foraging Decision-Making? . In: Artificial Life Conference Proceedings. ALIFE 2021: The 2021 Conference on Artificial Life. 2021. https://doi.org/10.1162/isal_a_00397

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

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

Project Deliverables

Futuristic Beehives for a Smart Metropolis: Design of the brood nest module.  D5.1.pdf

Futuristic Beehives for a Smart Metropolis: Data Management Plan (DMP). D7.1.pdf

Futuristic Beehives for a Smart Metropolis: Dissemination and exploitation plan. D7.2.pdf