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Karl Crailsheim

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2010 – 2019

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2014
[j11]
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Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Analysis of Swarm Behaviors Based on an Inversion of the Fluctuation Theorem. Artif. Life 20(1): 77-93 (2014)
2013
[c35]
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  - conf/ecal/ZahadatCS13
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Payam Zahadat, Karl Crailsheim, Thomas Schmickl:
Social Inhibition Manages Division of Labour in Artificial Swarm Systems. ECAL 2013: 609-616
[c34]
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Payam Zahadat, Thomas Schmickl, Karl Crailsheim:
Evolution of Spatial Pattern Formation by Autonomous Bio-Inspired Cellular Controllers. ECAL 2013: 721-728
[c33]
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Daniela Kengyel, Ronald Thenius, Karl Crailsheim, Thomas Schmickl:
Influence of a Social Gradient on a Swarm of Agents Controlled by the BEECLUST Algorithm. ECAL 2013: 1041-1048
2012
[j10]
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Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
A Hormone-Based Controller for Evaluation-Minimal Evolution in Decentrally Controlled Systems. Artif. Life 18(2): 165-198 (2012)
[j9]
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Heiko Hamann, Thomas Schmickl, Heinz Wörn, Karl Crailsheim:
Analysis of emergent symmetry breaking in collective decision making. Neural Comput. Appl. 21(2): 207-218 (2012)
[j8]
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Thomas Schmickl, Ronald Thenius, Karl Crailsheim:
Swarm-intelligent foraging in honeybees: benefits and costs of task-partitioning and environmental fluctuations. Neural Comput. Appl. 21(2): 251-268 (2012)
[c32]
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Toshifumi Kimura, Mizue Ohashi, Karl Crailsheim, Thomas Schmickl, Ryuichi Odaka, Hidetoshi Ikeno:
Tracking of Multiple Honey Bees on a Flat Surface. ICETET 2012: 36-39
[c31]
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Payam Zahadat, Thomas Schmickl, Karl Crailsheim:
Evolving Reactive Controller for a Modular Robot: Benefits of the Property of State-Switching in Fractal Gene Regulatory Networks. SAB 2012: 209-218
2011
[c30]
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Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Explaining emergent behavior in a swarm system based on an inversion of the fluctuation theorem. ECAL 2011: 302-309
[c29]
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Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Coupled inverted pendulums: a benchmark for evolving decentral controllers in modular robotics. GECCO 2011: 195-202
[c28]
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  - conf/icais/TheniusDSC11
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Ronald Thenius, Markus Dauschan, Thomas Schmickl, Karl Crailsheim:
Regenerative Abilities in Modular Robots Using Virtual Embryogenesis. ICAIS 2011: 227-237
[c27]
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Markus Dauschan, Ronald Thenius, Thomas Schmickl, Karl Crailsheim:
Using Virtual Embryogenesis in Multi-robot Organisms. ICAIS 2011: 238-247
[c26]
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Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Thermodynamics of emergence: Langton's ant meets Boltzmann. ALIFE 2011: 62-69
2010
[j7]
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  - journals/simeuro/TheniusSC10
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Ronald Thenius, Thomas Schmickl, Karl Crailsheim:
Novel Concept of Modelling Embryology for Structuring an Artificial Neural Network. Simul. Notes Eur. 20(2): 25-32 (2010)
[c25]
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Thomas Schmickl, Heiko Hamann, Jürgen Stradner, Ralf Mayet, Karl Crailsheim:
Complex Taxis-Behaviour in a Novel Bio-Inspired Robot Controller. ALIFE 2010: 648-658
[c24]
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Heiko Hamann, Jürgen Stradner, Thomas Schmickl, Karl Crailsheim:
Artificial Hormone Reaction Networks - Towards Higher Evolvability in Evolutionary Multi-Modular Robotics. ALIFE 2010: 773-780
[c23]
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Ralf Mayet, Jonathan Roberz, Thomas Schmickl, Karl Crailsheim:
Antbots: A Feasible Visual Emulation of Pheromone Trails for Swarm Robots. ANTS Conference 2010: 84-94
[c22]
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Christoph Möslinger, Thomas Schmickl, Karl Crailsheim:
Emergent Flocking with Low-End Swarm Robots. ANTS Conference 2010: 424-431
[c21]
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Heiko Hamann, Jürgen Stradner, Thomas Schmickl, Karl Crailsheim:
A hormone-based controller for evolutionary multi-modular robotics: From single modules to gait learning. IEEE Congress on Evolutionary Computation 2010: 1-8
[c20]
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Ronald Thenius, Michael Bodi, Thomas Schmickl, Karl Crailsheim:
Using Virtual Embryogenesis for Structuring Controllers. ICARIS 2010: 312-313
[c19]
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Heiko Hamann, Bernd Meyer, Thomas Schmickl, Karl Crailsheim:
A Model of Symmetry Breaking in Collective Decision-Making. SAB 2010: 639-648
[i1]
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  - journals/corr/abs-1011-3912
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Heiko Hamann, Jürgen Stradner, Thomas Schmickl, Karl Crailsheim:
Artificial Hormone Reaction Networks: Towards Higher Evolvability in Evolutionary Multi-Modular Robotics. CoRR abs/1011.3912 (2010)

2000 – 2009

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2009
[j6]
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Thomas Schmickl, Ronald Thenius, Christoph Möslinger, Gerald Radspieler, Serge Kernbach, Marc Szymanski, Karl Crailsheim:
Get in touch: cooperative decision making based on robot-to-robot collisions. Auton. Agents Multi Agent Syst. 18(1): 133-155 (2009)
[j5]
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Thomas Schmickl, Heiko Hamann, Heinz Wörn, Karl Crailsheim:
Two different approaches to a macroscopic model of a bio-inspired robotic swarm. Robotics Auton. Syst. 57(9): 913-921 (2009)
[c18]
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  - conf/ecal/KengyelSHTC09
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Daniela Kengyel, Thomas Schmickl, Heiko Hamann, Ronald Thenius, Karl Crailsheim:
Embodiment of Honeybee's Thermotaxis in a Mobile Robot Swarm. ECAL (2) 2009: 69-76
[c17]
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Ronald Thenius, Michael Bodi, Thomas Schmickl, Karl Crailsheim:
Growth of Structured Artificial Neural Networks by Virtual Embryogenesis. ECAL (2) 2009: 118-125
[c16]
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Jürgen Stradner, Heiko Hamann, Thomas Schmickl, Ronald Thenius, Karl Crailsheim:
Evolving a Novel Bio-inspired Controller in Reconfigurable Robots. ECAL (1) 2009: 132-139
[c15]
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Thomas Schmickl, Karl Crailsheim:
Economics of Specialization in Honeybees - A Multi-agent Simulation Study of Honeybees. ECAL (2) 2009: 358-366
[c14]
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Michael Bodi, Ronald Thenius, Thomas Schmickl, Karl Crailsheim:
How Two Cooperating Robot Swarms Are Affected by Two Conflictive Aggregation Spots. ECAL (2) 2009: 367-374
[c13]
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Christoph Möslinger, Thomas Schmickl, Karl Crailsheim:
A Minimalist Flocking Algorithm for Swarm Robots. ECAL (2) 2009: 375-382
[c12]
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Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Evolving for Creativity: Maximizing Complexity in a Self-organized Multi-particle System. ECAL (1) 2009: 442-449
[c11]
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Jürgen Stradner, Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Analysis and implementation of an Artificial Homeostatic Hormone System: A first case study in robotic hardware. IROS 2009: 595-600
2008
[j4]
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  - journals/arobots/SchmicklC08
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Thomas Schmickl, Karl Crailsheim:
Trophallaxis within a robotic swarm: bio-inspired communication among robots in a swarm. Auton. Robots 25(1-2): 171-188 (2008)
[j3]
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Ronald Thenius, Thomas Schmickl, Karl Crailsheim:
Optimisation of a honeybee-colony's energetics via social learning based on queuing delays. Connect. Sci. 20(2&3): 193-210 (2008)
[c10]
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Thomas Schmickl, Karl Crailsheim:
Analysing honeybees' division of labour in broodcare by a multi-agent model. ALIFE 2008: 529-536
[c9]
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Ronald Thenius, Thomas Schmickl, Karl Crailsheim:
How to know without having been there? - Investigating communication channels in the nectar collecting system of a honeybee colony. ALIFE 2008: 807
[c8]
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Heiko Hamann, Heinz Wörn, Karl Crailsheim, Thomas Schmickl:
Spatial macroscopic models of a bio-inspired robotic swarm algorithm. IROS 2008: 1415-1420
[c7]
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Thomas Schmickl, Karl Crailsheim:
An Individual-Based Model of Task Selection in Honeybees. SAB 2008: 383-392
2006
[j2]
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  - journals/ras/ValdastriCMSCSD06
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Pietro Valdastri, Paolo Corradi, Arianna Menciassi, Thomas Schmickl, Karl Crailsheim, Jörg Seyfried, Paolo Dario:
Micromanipulation, communication and swarm intelligence issues in a swarm microrobotic platform. Robotics Auton. Syst. 54(10): 789-804 (2006)
[c6]
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Thomas Schmickl, Karl Crailsheim:
A Navigation Algorithm for Swarm Robotics Inspired by Slime Mold Aggregation. Swarm Robotics 2006: 1-13
[c5]
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Thomas Schmickl, Christoph Möslinger, Karl Crailsheim:
Collective Perception in a Robot Swarm. Swarm Robotics 2006: 144-157
[c4]
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Thomas Schmickl, Karl Crailsheim:
Bubbleworld.Evo: Artificial Evolution of Behavioral Decisions in a Simulated Predator-Prey Ecosystem. SAB 2006: 594-605
[c3]
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Ronald Thenius, Thomas Schmickl, Karl Crailsheim:
Economic Optimisation in Honeybees: Adaptive Behaviour of a Superorganism. SAB 2006: 725-737
2005
[c2]
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  - conf/ceemas/TheniusSC05
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Ronald Thenius, Thomas Schmickl, Karl Crailsheim:
The "Dance or Work" Problem: Why Do not all Honeybees Dance with Maximum Intensity. CEEMAS 2005: 246-255
[c1]
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  - conf/gecco/SchmicklTC05
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Thomas Schmickl, Ronald Thenius, Karl Crailsheim:
Simulating swarm intelligence in honey bees: foraging in differently fluctuating environments. GECCO 2005: 273-274
2004
[j1]
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  - journals/adb/SchmicklC04
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Thomas Schmickl, Karl Crailsheim:
Costs of Environmental Fluctuations and Benefits of Dynamic Decentralized Foraging Decisions in Honey Bees. Adapt. Behav. 12(3-4): 263-277 (2004)

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