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Karl Crailsheim
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2010 – 2019
- 2014
- [j11]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]Payam Zahadat, Karl Crailsheim, Thomas Schmickl:
Social Inhibition Manages Division of Labour in Artificial Swarm Systems. ECAL 2013: 609-616 - [c34]Payam Zahadat, Thomas Schmickl, Karl Crailsheim:
Evolution of Spatial Pattern Formation by Autonomous Bio-Inspired Cellular Controllers. ECAL 2013: 721-728 - [c33]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]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]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]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]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]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]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]Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Coupled inverted pendulums: a benchmark for evolving decentral controllers in modular robotics. GECCO 2011: 195-202 - [c28]Ronald Thenius, Markus Dauschan, Thomas Schmickl, Karl Crailsheim:
Regenerative Abilities in Modular Robots Using Virtual Embryogenesis. ICAIS 2011: 227-237 - [c27]Markus Dauschan, Ronald Thenius, Thomas Schmickl, Karl Crailsheim:
Using Virtual Embryogenesis in Multi-robot Organisms. ICAIS 2011: 238-247 - [c26]Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Thermodynamics of emergence: Langton's ant meets Boltzmann. ALIFE 2011: 62-69 - 2010
- [j7]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]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]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]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]Christoph Möslinger, Thomas Schmickl, Karl Crailsheim:
Emergent Flocking with Low-End Swarm Robots. ANTS Conference 2010: 424-431 - [c21]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]Ronald Thenius, Michael Bodi, Thomas Schmickl, Karl Crailsheim:
Using Virtual Embryogenesis for Structuring Controllers. ICARIS 2010: 312-313 - [c19]Heiko Hamann, Bernd Meyer, Thomas Schmickl, Karl Crailsheim:
A Model of Symmetry Breaking in Collective Decision-Making. SAB 2010: 639-648 - [i1]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
- 2009
- [j6]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]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]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]Ronald Thenius, Michael Bodi, Thomas Schmickl, Karl Crailsheim:
Growth of Structured Artificial Neural Networks by Virtual Embryogenesis. ECAL (2) 2009: 118-125 - [c16]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]Thomas Schmickl, Karl Crailsheim:
Economics of Specialization in Honeybees - A Multi-agent Simulation Study of Honeybees. ECAL (2) 2009: 358-366 - [c14]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]Christoph Möslinger, Thomas Schmickl, Karl Crailsheim:
A Minimalist Flocking Algorithm for Swarm Robots. ECAL (2) 2009: 375-382 - [c12]Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Evolving for Creativity: Maximizing Complexity in a Self-organized Multi-particle System. ECAL (1) 2009: 442-449 - [c11]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]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]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]Thomas Schmickl, Karl Crailsheim:
Analysing honeybees' division of labour in broodcare by a multi-agent model. ALIFE 2008: 529-536 - [c9]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]Heiko Hamann, Heinz Wörn, Karl Crailsheim, Thomas Schmickl:
Spatial macroscopic models of a bio-inspired robotic swarm algorithm. IROS 2008: 1415-1420 - [c7]Thomas Schmickl, Karl Crailsheim:
An Individual-Based Model of Task Selection in Honeybees. SAB 2008: 383-392 - 2006
- [j2]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]Thomas Schmickl, Karl Crailsheim:
A Navigation Algorithm for Swarm Robotics Inspired by Slime Mold Aggregation. Swarm Robotics 2006: 1-13 - [c5]Thomas Schmickl, Christoph Möslinger, Karl Crailsheim:
Collective Perception in a Robot Swarm. Swarm Robotics 2006: 144-157 - [c4]Thomas Schmickl, Karl Crailsheim:
Bubbleworld.Evo: Artificial Evolution of Behavioral Decisions in a Simulated Predator-Prey Ecosystem. SAB 2006: 594-605 - [c3]Ronald Thenius, Thomas Schmickl, Karl Crailsheim:
Economic Optimisation in Honeybees: Adaptive Behaviour of a Superorganism. SAB 2006: 725-737 - 2005
- [c2]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]Thomas Schmickl, Ronald Thenius, Karl Crailsheim:
Simulating swarm intelligence in honey bees: foraging in differently fluctuating environments. GECCO 2005: 273-274 - 2004
- [j1]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)
Coauthor Index
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