| Swarm robotics: A formal approach H Hamann Springer, 2018 | 452 | 2018 |
| Collective decision with 100 Kilobots: Speed versus accuracy in binary discrimination problems G Valentini, E Ferrante, H Hamann, M Dorigo Autonomous agents and multi-agent systems 30, 553-580, 2016 | 188 | 2016 |
| A framework of space–time continuous models for algorithm design in swarm robotics H Hamann, H Wörn Swarm Intelligence 2, 209-239, 2008 | 183 | 2008 |
| Self-organized collective decision making: The weighted voter model G Valentini, H Hamann, M Dorigo AAMAS 14, 45-52, 2014 | 156 | 2014 |
| Collective perception of environmental features in a robot swarm G Valentini, D Brambilla, H Hamann, M Dorigo Swarm Intelligence: 10th International Conference, ANTS 2016, Brussels …, 2016 | 148 | 2016 |
| Efficient decision-making in a self-organizing robot swarm: On the speed versus accuracy trade-off G Valentini, H Hamann, M Dorigo Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015 | 144 | 2015 |
| BEECLUST: A swarm algorithm derived from honeybees T Schmickl, H Hamann Bio-inspired computing and communication networks, 95-137, 2011 | 116 | 2011 |
| Space-time continuous models of swarm robotic systems: Supporting global-to-local programming H Hamann Springer Science & Business Media, 2010 | 81 | 2010 |
| Towards swarm calculus: Urn models of collective decisions and universal properties of swarm performance H Hamann Swarm Intelligence 7, 145-172, 2013 | 70 | 2013 |
| Two different approaches to a macroscopic model of a bio-inspired robotic swarm T Schmickl, H Hamann, H Wörn, K Crailsheim Robotics and Autonomous Systems 57 (9), 913-921, 2009 | 68 | 2009 |
| Flora robotica-mixed societies of symbiotic robot-plant bio-hybrids H Hamann, M Wahby, T Schmickl, P Zahadat, D Hofstadler, K Stoy, S Risi, ... 2015 IEEE symposium series on computational intelligence, 1102-1109, 2015 | 67 | 2015 |
| A hormone-based controller for evolutionary multi-modular robotics: From single modules to gait learning H Hamann, J Stradner, T Schmickl, K Crailsheim IEEE Congress on Evolutionary Computation, 1-8, 2010 | 60 | 2010 |
| Potential of heterogeneity in collective behaviors: A case study on heterogeneous swarms D Kengyel, H Hamann, P Zahadat, G Radspieler, F Wotawa, T Schmickl PRIMA 2015: Principles and Practice of Multi-Agent Systems: 18th …, 2015 | 56 | 2015 |
| Analysis of emergent symmetry breaking in collective decision making H Hamann, T Schmickl, H Wörn, K Crailsheim Neural Computing and Applications 21, 207-218, 2012 | 56 | 2012 |
| An analytical and spatial model of foraging in a swarm of robots H Hamann, H Wörn Swarm Robotics: Second International Workshop, SAB 2006, Rome, Italy …, 2007 | 56 | 2007 |
| Hybrid societies: challenges and perspectives in the design of collective behavior in self-organizing systems H Hamann, Y Khaluf, J Botev, M Divband Soorati, E Ferrante, O Kosak, ... Frontiers in Robotics and AI 3, 14, 2016 | 51 | 2016 |
| Towards swarm calculus: Universal properties of swarm performance and collective decisions H Hamann International Conference on Swarm Intelligence, 168-179, 2012 | 43 | 2012 |
| Collective change detection: Adaptivity to dynamic swarm densities and light conditions in robot swarms M Wahby, J Petzold, C Eschke, T Schmickl, H Hamann Artificial life conference proceedings, 642-649, 2019 | 41 | 2019 |
| Flora robotica--An Architectural System Combining Living Natural Plants and Distributed Robots H Hamann, MD Soorati, MK Heinrich, DN Hofstadler, I Kuksin, F Veenstra, ... arXiv preprint arXiv:1709.04291, 2017 | 40 | 2017 |
| Embodied computation H Hamann, H Wörn Parallel Processing Letters 17 (03), 287-298, 2007 | 40 | 2007 |
Thomas SchmicklInstitute of Biology, Artificial Life Lab, University of Grazthomasschmickl.science의 이메일 확인됨