Heiko Hamann
Heiko Hamann
Professor, University of Konstanz, Germany
Verified email at - Homepage
Cited by
Cited by
Swarm robotics: A formal approach
H Hamann
Springer, 2018
A framework of space–time continuous models for algorithm design in swarm robotics
H Hamann, H Wörn
Swarm Intelligence 2, 209-239, 2008
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
Self-organized collective decision making: the weighted voter model.
G Valentini, H Hamann, M Dorigo
AAMAS 14, 45-52, 2014
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
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
BEECLUST: A swarm algorithm derived from honeybees
T Schmickl, H Hamann
Bio-inspired computing and communication networks, 95-137, 2011
Space-time continuous models of swarm robotic systems: Supporting global-to-local programming
H Hamann
Springer Science & Business Media, 2010
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
Towards swarm calculus: Urn models of collective decisions and universal properties of swarm performance
H Hamann
Swarm Intelligence 7, 145-172, 2013
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
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
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
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
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
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
Towards swarm calculus: Universal properties of swarm performance and collective decisions
H Hamann
International Conference on Swarm Intelligence, 168-179, 2012
Embodied computation
H Hamann, H Wörn
Parallel Processing Letters 17 (03), 287-298, 2007
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
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
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