Mitarbeiter

Prof. Dr.-Ing. Heiko Hamann

Photo of Heiko  Hamann

Professor für Service-Robotik


Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, Raum 120 (2.OG)

Email:hamann(at)iti.uni-luebeck.de
Telefon:+49 451 3101 6303
Fax:+49 451 3101 6304

 

Kurz-Vita
- seit 2017 Professor, Universität zu Lübeck
- 2013-2017 Juniorprofessor, Universität Paderborn
- 04 bis 10/2016 Vertretungs-Professur, TU Chemnitz
- 2009-2012 Postdoc, Karl-Franzens-Universität Graz
- 2008 Doktor der Ingenieurwissenschaften (Universität Karlsruhe)
- 2006 Diplom Informatik (Universität Stuttgart)
- Auslandsaufenthalte: Oregon State Univ., USA und Monash Univ., Australien

 2015 bis 2019, Koordination des EU-Projekts flora robotica

 2020 bis 2023, Koordination des BMBF-Projekts NEUPA

 weitere Projekte: EU H2020 FET-Proactive PLANTWATCH, BMBF KI-Lab, externer PI im Exzellenz-Cluster Science of Intelligence, Berlin

 

vollständige Listen aller Publikationen:
http://heikohamann.de und google scholar

Invited Talks 2019

Publikationen

[KaH20] Kaiser, T.;Hamann, H.: Diversity in Swarm Robotics with Task-independent Behavior Characterization. In Genetic and Evolutionary Computation Conference Companion (GECCO '20 Companion), July 8-12, 2020, Cancún, Mexico, ACM, New York, USA 2020 [Paper]
[KaH20a] Kaiser, T.;Hamann, H.: Evolution of Diverse Swarm Behaviors with Minimal Surprise. To Appear: ALIFE 2020, 2020
[WVH20] Wever, M.; van Rooijen, L.; Hamann, H.: Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary Computation, MIT Press, Cambridge, MA, USA 2020 [Paper]
[DHG19] Divband Soorati, M.; Heinrich, M. K.; Ghofrani, J.; Zahadat, P.; Hamann, H.: Photomorphogenesis for Robot Self-assembly: Adaptivity, Collective Decision-making, and Self-repair. Bioinspiration and Biomimetics, IOPScience, 2019 [Paper]
[DKM19] Divband Soorati, M.; Krome, M.; Mora-Mendoza, M.; Ghofrani, J.; Hamann, H.: Plasticity in Collective Decision-Making for Robots: Creating Global Reference Frames, Detecting Dynamic Environments, and Preventing Lock-ins. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Macau, China 2019 [Abstract]
[DZG19] Divband Soorati, M.; Zahadat, P.; Ghofrani, J.; Hamann, H.: Adaptive Path Formation in Self-Assembling Robot Swarms by Tree-like Vascular Morphogenesis. Springer Proceedings in Advanced Robotics, vol. 9, 299-311, Springer International Publishing, Cham 2019 [Paper]
[EHW19] Eschke, C.; Heinrich, M. K.; Wahby, M.; Hamann, H.: Self-organized adaptive paths in multi-robot manufacturing: reconfigurable and pattern-independent fibre deployment. International Conference on Intelligent Robots and Systems (IROS), IEEE, Macau, China 2019
[HDK19] Heinrich, M. K.; Divband Soorati, M.; Kaiser, T. K.; Wahby, M.; Hamann, H.: Swarm robotics: Robustness, scalability, and self-X features in industrial applications. it - Information Technology , 159-167, DE GRUYTER , 2019 [Paper]
[HMH19] Heinrich, M. K.; von Mammen, S.; Hofstadler, D. N.; Wahby, M.; Zahadat, P.; Skrzypczak, T.; Divband Soorati, M.; Krela, R.; Kwiatkowski, W.; Schmickl, T.; Ayres, P.; Stoy, K.; Hamann, H.: Constructing Living Buildings: A Review of Relevant Technologies for a Novel Application of Biohybrid Robotics. Journal of The Royal Society Interface, 20190238, Journal of The Royal Society Interface, 2019 [Abstract] [Paper]
[HPV19] Hamann, H.; Pinciroli, C.; von Mammen, S.: A Gamification Concept for Teaching Swarm Robotics. EWME 2018, IEEE, 2019 [Abstract]
[KaH19a] Kaiser, T. K.; Hamann, H.: Self-Assembly in Patterns with Minimal Surprise: Engineered Self-Organization and Adaptation to the Environment. Correll N., Schwager M., Otte M. (eds) Distributed Autonomous Robotic Systems. Springer Proceedings in Advanced Robotics, vol 9. , 183-195, Springer International Publishing, Cham 2019 [Paper]
[KaH19b] Kaiser, T. K.; Hamann, H.: Self-Organized Construction by Minimal Surprise. 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), 213-218, IEEE, 2019 [Paper]
[KaH19d] Kaiser, T. K.; Hamann, H.: Engineered self-organization for resilient robot self-assembly with minimal surprise. Robotics and Autonomous Systems , 2019 [Paper]
[KhH19] Khaluf, Y.; Hamann, H.: Modulating Interaction Times in an Artificial Society of Robots. Int. Conf. of Alife, MIT Press, 2019 [Paper]
[KHH19b] Khaluf, Y.; Hamann, H.: Modulating Interaction Times in an Artificial Society of Robots. Alife, MIT Press, 2019 [Paper]
[KSH19] Khaluf, Y.; Simoens, P.; Hamann, H.: The Neglected Pieces of Designing Collective Decision-Making Processes. Frontiers in Robotics and AI, 2019 [Paper]
[NiH19] Niess, M.; Hamann, H.: Self-organized Construction by Population Coding. Int. Workshop on Self-organised Construction (SOCO), IEEE, 2019 [Paper]
[WHH19] Wahby, M.; Heinrich, M. K.; Hofstadler, D. N.; Petzold, J.; Kuksin, I.; Zahadat, P.; Schmickl, T.; Ayres, P.; Hamann, H.: Robotic Sensing and Stimuli Provision for Guided Plant Growth. Journal of Visualized Experiments (JoVE), 149, Journal of Visualized Experiments (JoVE), 2019 [Abstract] [Paper]
[WPE19] Wahby, M.; Petzold, J.; Eschke, C.; Schmickl, T.; Hamann, H.: Collective change detection: adaptivity to dynamic swarm densities and light conditions in robot swarms. The International Conference on the Synthesis and Simulation of Living Systems (ALIFE), 642-649, Artificial life (ALIFE), Newcastle, UK 2019 [Abstract] [Paper]
[DGZ18] Divband Soorati, M.; Ghofrani, J.; Zahadat, P.; Hamann, H.: Robust and Adaptive Robot Self-Assembly Based on Vascular Morphogenesis. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4282-4287, IEEE, Madrid 2018 [Paper]
[Ham18a] Hamann, H.: Opinion Dynamics With Mobile Agents: Contrarian Effects by Spatial Correlations. frontiers in Robotics and AI, frontiers, 2018 [Paper]
[HaV18] Hamann, H.; von Mammen, S.: Swarm Robotics. Organic Computing - Technical Systems for Survival in the Real World, 2018 [Paper]
[HMM18] Hamann, H.; Markarian, C.; Meyer auf der Heide F.; Wahby, M.: Pick, Pack, & Survive: Charging Robots in a Modern Warehouse based on Online Connected Dominating Sets. 9th Int. Conf. on Fun with Algorithms, 22:1--22:13, Schloss Dagstuhl--Leibniz-Zentrum für Informatik, La Maddalena, Italy 2018 [Abstract] [Paper]
[WHH18a] Wahby, M.; Heinrich, MK.; Hofstadtler, DN.; Zahadat, P.; Risi, S.; Ayres, P.; Schmickl T.; Hamann, H.: A Robot to Shape your Natural Plant: The Machine Learning Approach to Model and Control Bio-Hybrid Systems. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 165--172, ACM, Kyoto, Japan 2018 [Abstract] [Paper]
[WHH18b] Wahby, M.; Heinrich, MK.; Hofstadler, DN.; Neufeld, N.; Kuksin, I.; Zahadat, P.; Schmickl, T.; Ayres, P.; Hamann, H.: Autonomously Shaping Natural Climbing Plants: A Bio-hybrid Approach. Royal Society Open Science, Royal Society Open Science, 2018 [Abstract] [Paper]
[BoH17] Borkowski, R.; Hamann, H.: Evolving robot swarm behaviors by minimizing surprise: results of simulations in 2-d on a Torus. The Genetic and Evolutionary Computation Conference 2017, 1679-1680, ACM, Berlin 2017 [Abstract] [Paper]
[HWH17] Hofstadler, D. N.; Wahby, M.; Heinrich, M. K.; Hamann, H.; Zahadat, P.; Ayres, P.; Schmickl, T.: Evolved Control of Natural Plants: Crossing the Reality Gap for User-defined Steering of Growth and Motion. ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special Issue on SASO 2016, Volume 12, Issue 3, Article No. 15, ACM, New York 2017 [Abstract] [Paper]
[KPV17] Khaluf, Y; Pinciroli, C.; Valentini, G.; Hamann, H.: The Impact of Agent Density on Scalability in Collective Systems: Noise-Induced vs Majority-Based Bistability. Swarm Intelligence, Volume 11, Issue 2, 155–179, Springer US, 2017 [Abstract] [Paper]
[VBP17] van Rooijen, L.; Bäumer, F.; Platenius, M. C.; Geierhos, M.; Hamann, H.; Engels, G.: From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process. Fourth International Workshop on Artificial Intelligence for Requirements Engineering (AIRE 17) workshop - in conjuction with RE 17, IEEE, Lisbon 2017 [Abstract] [Paper]
[WHH17] Wagner, D.; Hofmann, C.; Hamann, H.; von Mammen, S.: Design and Exploration of Braiding Swarms in VR. 23rd ACM Symposium on Virtual Reality Software and Technology, Article No. 13, ACM, Gothenburg 2017 [Abstract] [Paper]
[WVH17] Wever, M.; van Rooijen, L.; Hamann, H.: Active Coevolutionary Learning of Requirements Specifications from Examples. The Genetic and Evolutionary Computation Conference 2017, Berlin, ACM, 1327-1334 , ACM, Berlin 2017 [Abstract] [Paper]
[WVL17] Wever, M.; van Rooijen, L.; Hamann, H.: Active Coevolutionary Learning of Requirements Specifications from Examples. GECCO, 1327-1334, ACM, 2017 [Paper]