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82 Publications


2020 | Journal Article | LibreCat-ID: 15025
Wever, M. D., van Rooijen, L., & Hamann, H. (2020). Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary Computation, 28(2), 165–193. https://doi.org/10.1162/evco_a_00266
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2018 | Conference Paper | LibreCat-ID: 2850
Hamann, H., Markarian, C., Meyer auf der Heide, F., & Wahby, M. (2018). Pick, Pack, & Survive: Charging Robots in a Modern Warehouse based on Online Connected Dominating Sets. In Ninth International Conference on Fun with Algorithms (FUN). https://doi.org/10.4230/LIPIcs.FUN.2018.22
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2017 | Conference Paper | LibreCat-ID: 97
van Rooijen, L., Bäumer, F. S., Platenius, M. C., Geierhos, M., Hamann, H., & Engels, G. (2017). From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process. In 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW) (pp. 379–385). Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/REW.2017.26
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2016 | Conference Paper | LibreCat-ID: 19961
Wahby, M., Hofstadler, D. N., Heinrich, M. K., Zahadat, P., & Hamann, H. (2016). An Evolutionary Robotics Approach to the Control of Plant Growth and Motion: Modeling Plants and Crossing the Reality Gap. In Proc. of the 10th International Conference on Self-Adaptive and Self-Organizing Systems. https://doi.org/10.1109/saso.2016.8
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2016 | Conference Paper | LibreCat-ID: 19968
Heinrich, M. K., Wahby, M., Divband Soorati, M., Hofstadler, D. N., Zahadat, P., Ayres, P., … Hamann, H. (2016). Self-Organized Construction with Continuous Building Material: Higher Flexibility Based on Braided Structures. In Proc. of the 1st International Workshop on Self-Organising Construction (SOCO). https://doi.org/10.1109/fas-w.2016.43
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2016 | Journal Article | LibreCat-ID: 19969
Hamann, H., Khaluf, Y., Botev, J., Divband Soorati, M., Ferrante, E., Kosak, O., … Zamuda, A. (2016). Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-organizing Systems. Frontiers in Robotics and AI. https://doi.org/10.3389/frobt.2016.00014
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2016 | Conference Paper | LibreCat-ID: 19979
Hamann, H., & Divband Soorati, M. (2016). Robot Self-Assembly as Adaptive Growth Process: Collective Selection of Seed Position and Self-Organizing Tree-Structures. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016). https://doi.org/10.1109/IROS.2016.7759845
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2016 | Journal Article | LibreCat-ID: 19983
Dorigo, M., Hamann, H., Valentini, G., & Ferrante, E. (2016). Collective Decision with 100 Kilobots: Speed vs Accuracy in Binary Discrimination Problems. Journal of Autonomous Agents and Multi-Agent Systems, 30(3), 553–580. https://doi.org/10.1007/s10458-015-9323-3
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2016 | Conference Paper | LibreCat-ID: 20000
Hamann, H., Valentini, G., & Dorigo, M. (2016). Population Coding: A New Design Paradigm for Embodied Distributed Systems. In 10th Int. Conf. on Swarm Intelligence, ANTS 2016. Cham. https://doi.org/10.1007/978-3-319-44427-7_15
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2016 | Conference Paper | LibreCat-ID: 20001
von Mammen, S., Hamann, H., & Heider, M. (2016). Robot Gardens: An Augmented Reality Prototype for Plant-Robot Biohybrid Systems. In ACM Symposium on Virtual Reality Software and Technology (VRST). https://doi.org/10.1145/2993369.2993400
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2016 | Conference Paper | LibreCat-ID: 20002
Rybář, M., & Hamann, H. (2016). Inspiration-Triggered Search: Towards Higher Complexities by Mimicking Creative Processes. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016). https://doi.org/10.1145/2908812.2908815
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2016 | Conference Paper | LibreCat-ID: 20003
Khaluf, Y., & Hamann, H. (2016). On the Definition of Self-organizing Systems: Relevance of Positive/Negative Feedback and Fluctuations. In ANTS 2016 (Vol. 9882, p. 298).
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2016 | Conference Paper | LibreCat-ID: 20004
Valentini, G., Brambilla, D., Hamann, H., & Dorigo, M. (2016). Collective Perception of Environmental Features in a Robot Swarm. In 10th Int. Conf. on Swarm Intelligence, ANTS 2016. https://doi.org/10.1007/978-3-319-44427-7_6
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2016 | Conference Paper | LibreCat-ID: 169
Kühne, T., Hamann, H., Arifulina, S., & Engels, G. (2016). Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application. In Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016) (pp. 278--293). https://doi.org/10.1007/978-3-319-30668-1_18
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2015 | Conference Paper | LibreCat-ID: 19959
Wahby, M., & Hamann, H. (2015). On the Tradeoff between Hardware Protection and Optimization Success: A Case Study in Onboard Evolutionary Robotics for Autonomous Parallel Parking. In Applications of Evolutionary Computation (EvoApplications 2015). https://doi.org/10.1007/978-3-319-16549-3_61
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2015 | Conference Paper | LibreCat-ID: 19960
Hamann, H., Wahby, M., Schmickl, T., Zahadat, P., Hofstadler, D., Stoy, K., … Wojtaszek, P. (2015). Flora Robotica - Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids. In Proceedings of the 2015 IEEE Symposium on Artificial Life (IEEE ALIFE’15). https://doi.org/10.1109/ssci.2015.158
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2015 | Journal Article | LibreCat-ID: 19962
Hamann, H. (2015). Lessons from Speciation Dynamics: How to Generate Selective Pressure Towards Diversity. Artificial Life, 464–480. https://doi.org/10.1162/artl_a_00186
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2015 | Conference Paper | LibreCat-ID: 19966
Wahby, M., Weinhold, A., & Hamann, H. (2015). Revisiting BEECLUST: Aggregation of Swarm Robots with Adaptiveness to Different Light Settings. In Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS). https://doi.org/10.4108/eai.3-12-2015.2262877
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2015 | Conference Paper | LibreCat-ID: 19967
Wahby, M., Divband Soorati, M., von Mammen, S., & Hamann, H. (2015). Evolution of Controllers for Robot-Plant Bio-Hybdrids: A Simple Case Study Using a Model of Plant Growth and Motion. In Proceedings. 25. Computational Intelligence Workshop.
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2015 | Conference Paper | LibreCat-ID: 19980
Hamann, H., & Divband Soorati, M. (2015). The Effect of Fitness Function Design on Performance in Evolutionary Robotics: The Influence of a Priori Knowledge. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015) (pp. 153–160). ACM. https://doi.org/10.1145/2739480.2754676
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