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A Minimalist Flocking Algorithm for Swarm Robots.

C. Möslinger, T. Schmickl, and K. Crailsheim. ECAL (2), volume 5778 of Lecture Notes in Computer Science, page 375-382. Springer, (2009)

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Dipl.-Ing. Karl Kübler

Approach for manufacturer independent automated machine tool control software testK. Kübler, A. Neyrinck, J. Schlechtendahl, A. Lechler, and A. Verl. Progress in production engineering; selected, peer reviewed papers from the 2015 WGP Congress, September 7 - 8, 2015, Hamburg, Germany, 794, page 347-354. Pfaffikon, Trans Tech Publ., (2015)

Philipp Karl University of Stuttgart

Kristian Karlovic

Prof. Dr. Karl Bredereck University of Stuttgart

Karl Grötzinger University of Stuttgart

Other publications of authors with the same name

Trophallaxis within a robotic swarm: bio-inspired communication among robots in a swarm.T. Schmickl, and K. Crailsheim. Auton. Robots, 25 (1-2): 171-188 (2008)A Minimalist Flocking Algorithm for Swarm Robots.C. Möslinger, T. Schmickl, and K. Crailsheim. ECAL (2), volume 5778 of Lecture Notes in Computer Science, page 375-382. Springer, (2009)Embodiment of Honeybee's Thermotaxis in a Mobile Robot Swarm.D. Kengyel, T. Schmickl, H. Hamann, R. Thenius, and K. Crailsheim. ECAL (2), volume 5778 of Lecture Notes in Computer Science, page 69-76. Springer, (2009)How Two Cooperating Robot Swarms Are Affected by Two Conflictive Aggregation Spots.M. Bodi, R. Thenius, T. Schmickl, and K. Crailsheim. ECAL (2), volume 5778 of Lecture Notes in Computer Science, page 367-374. Springer, (2009)The "Dance or Work" Problem: Why Do not all Honeybees Dance with Maximum Intensity.R. Thenius, T. Schmickl, and K. Crailsheim. CEEMAS, volume 3690 of Lecture Notes in Computer Science, page 246-255. Springer, (2005)Evolving Reactive Controller for a Modular Robot: Benefits of the Property of State-Switching in Fractal Gene Regulatory Networks.P. Zahadat, T. Schmickl, and K. Crailsheim. SAB, volume 7426 of Lecture Notes in Computer Science, page 209-218. Springer, (2012)Bubbleworld.Evo: Artificial Evolution of Behavioral Decisions in a Simulated Predator-Prey Ecosystem.T. Schmickl, and K. Crailsheim. SAB, volume 4095 of Lecture Notes in Computer Science, page 594-605. Springer, (2006)Analysis of emergent symmetry breaking in collective decision making.H. Hamann, T. Schmickl, H. Wörn, and K. Crailsheim. Neural Computing and Applications, 21 (2): 207-218 (2012)Swarm-intelligent foraging in honeybees: benefits and costs of task-partitioning and environmental fluctuations.T. Schmickl, R. Thenius, and K. Crailsheim. Neural Computing and Applications, 21 (2): 251-268 (2012)Analysing honeybees' division of labour in broodcare by a multi-agent model.T. Schmickl, and K. Crailsheim. ALIFE, page 529-536. MIT Press, (2008)