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Thomas Schmickl
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2020 – today
- 2024
- [j31]Rafael Barmak, Daniel Nicolas Hofstadler, Martin Stefanec, Louis Piotet, Raphaél Cherfan, Thomas Schmickl, Francesco Mondada, Rob Mills:
Biohybrid Superorganisms - On the Design of a Robotic System for Thermal Interactions With Honeybee Colonies. IEEE Access 12: 50849-50871 (2024) - [j30]Jirí Ulrich, Martin Stefanec, Fatemeh Rekabi Bana, Laurenz A. Fedotoff, Tomás Roucek, Bilal Y. Gündeger, Mahmood Saadat, Jan Blaha, Jirí Janota, Daniel Nicolas Hofstadler, Kristina Zampachu, Erhan Ege Keyvan, Babür Erdem, Erol Sahin, Hande Alemdar, Ali Emre Turgut, Farshad Arvin, Thomas Schmickl, Tomás Krajník:
Autonomous tracking of honey bee behaviors over long-term periods with cooperating robots. Sci. Robotics 9(95) (2024) - [j29]Thomas Schmickl, Donato Romano:
Robots and animals teaming up in the wild to tackle ecosystem challenges. Sci. Robotics 9(96) (2024) - [c89]Jan Blaha, Jan Mikula, Tomás Vintr, Jirí Janota, Jirí Ulrich, Tomás Roucek, Fatemeh Rekabi Bana, Laurenz Alexander Fedotoff, Martin Stefanec, Thomas Schmickl, Farshad Arvin, Miroslav Kulich, Tomás Krajník:
Effective Searching for the Honeybee Queen in a Living Colony. CASE 2024: 3675-3682 - [c88]Fatemeh Rekabi Bana, Mahmood Saadat, Nahid Kalantaryardebily, Martin Stefanec, Laurenz A. Fedotoff, Honghao Pan, Tomás Krajník, Thomas Schmickl, Farshad Arvin:
Active Vibration Reduction for the Autonomous Observation Mechanism. CCTA 2024: 805-810 - [c87]Jan Blaha, Tomás Vintr, Jan Mikula, Jirí Janota, Tomás Roucek, Jirí Ulrich, Fatemeh Rekabi Bana, Laurenz Alexander Fedotoff, Martin Stefanec, Thomas Schmickl, Farshad Arvin, Miroslav Kulich, Tomás Krajník:
Toward Perpetual Occlusion-Aware Observation of Comb States in Living Honeybee Colonies. IROS 2024: 5948-5955 - 2023
- [j28]Michael Vogrin, Guilherme Wood, Thomas Schmickl:
Confirmation Bias as a Mechanism to Focus Attention Enhances Signal Detection. J. Artif. Soc. Soc. Simul. 26(1) (2023) - [j27]Rafael Barmak, Martin Stefanec, Daniel Nicolas Hofstadler, Louis Piotet, Stefan Schönwetter-Fuchs-Schistek, Francesco Mondada, Thomas Schmickl, Rob Mills:
A robotic honeycomb for interaction with a honeybee colony. Sci. Robotics 8(76) (2023) - [j26]Michael Vogrin, Wiktoria Rajewicz, Thomas Schmickl, Ronald Thenius:
Improving the Accuracy of a Biohybrid for Environmental Monitoring. Sensors 23(5): 2722 (2023) - [c86]Fatemeh Rekabi Bana, Martin Stefanec, Jirí Ulrich, Erhan Ege Keyvan, Tomás Roucek, George Broughton, Bilal Y. Gündeger, Ömer Sahin, Ali Emre Turgut, Erol Sahin, Tomás Krajník, Thomas Schmickl, Farshad Arvin:
Mechatronic Design for Multi Robots-Insect Swarms Interactions. ICM 2023: 1-6 - [c85]Wiktoria Rajewicz, Nikolaus Helmer, Thomas Schmickl, Ronald Thenius:
Living Organisms as Sensors for Biohybrid Monitoring Systems. Living Machines (2) 2023: 348-362 - 2022
- [j25]Thomas Schmickl:
Strong Emergence Arising from Weak Emergence. Complex. 2022: 9956885:1-9956885:17 (2022) - [j24]Martin Stefanec, Daniel Nicolas Hofstadler, Tomás Krajník, Ali Emre Turgut, Hande Alemdar, Barry Lennox, Erol Sahin, Farshad Arvin, Thomas Schmickl:
A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees. Frontiers Robotics AI 9: 791921 (2022) - [c84]Daniel Reisinger, Michael Vogrin, Guilherme Wood, Thomas Schmickl, Georg Jäger:
Networked Models of Social Influence: Explaining Left-Right Political Landscapes in Europe Through Opinion Dynamics and Network Structure. ESSA 2022: 273-283 - 2021
- [j23]Hannes Hornischer, Joshua Cherian Varughese, Ronald Thenius, Franz Wotawa, Manfred Füllsack, Thomas Schmickl:
CIMAX: collective information maximization in robotic swarms using local communication. Adapt. Behav. 29(3) (2021) - [j22]Wiktoria Rajewicz, Donato Romano, Joshua Cherian Varughese, Godfried Jansen van Vuuren, Alexandre Campo, Ronald Thenius, Thomas Schmickl:
Freshwater organisms potentially useful as biosensors and power-generation mediators in biohybrid robotics. Biol. Cybern. 115(6): 615-628 (2021) - [j21]Melanie Schranz, Gianni A. Di Caro, Thomas Schmickl, Wilfried Elmenreich, Farshad Arvin, Y. Ahmet Sekercioglu, Micha Sende:
Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends. Swarm Evol. Comput. 60: 100762 (2021) - [c83]Ronald Thenius, Wiktoria Rajewicz, Joshua Cherian Varughese, Sarah Schönwetter-Fuchs, Farshad Arvin, Alexander J. Casson, Chao Wu, Barry Lennox, Alexandre Campo, Godfried Jansen van Vuuren, Cesare Stefanini, Donato Romano, Thomas Schmickl:
Biohybrid Entities for Environmental Monitoring. ALIFE 2021: 33 - [c82]Asya Ilgün, Kostadin Angelov, Martin Stefanec, Sarah Schönwetter-Fuchs, Valerin Stokanic, Jutta Vollmann, Daniel Nicolas Hofstadler, Martin H. Kärcher, Heinrich Mellmann, Volha Taliaronak, Armands Kviesis, Vitalijs Komasilovs, Matthias A. Becher, Martina Szopek, David M. Dormagen, Rafael Barmak, Erol Bairaktarov, Matthieu Broisin, Ronald Thenius, Rob Mills, Stamatios C. Nicolis, Alexandre Campo, Aleksejs Zacepins, Sergey Petrov, Jean-Louis Deneubourg, Francesco Mondada, Tim Landgraf, Verena V. Hafner, Thomas Schmickl:
Bio-Hybrid Systems for Ecosystem Level Effects. ALIFE 2021: 41 - [c81]Dajana Lazic, Thomas Schmickl:
Can Robots Inform a Honeybee Colony's Foraging Decision-Making? ALIFE 2021: 42 - 2020
- [c80]Shiyi Wang, Ali Emre Turgut, Thomas Schmickl, Barry Lennox, Farshad Arvin:
Investigation of Cue-Based Aggregation Behaviour in Complex Environments. CollaborateCom (2) 2020: 18-36 - [c79]Michael Vogrin, Martin Stefanec, Thomas Schmickl:
Social Distancing in Robot Swarms: Modulating Exploitation and Exploration Without Signal Exchange. SSCI 2020: 2233-2240 - [c78]Tomas Luneckas, Mindaugas Luneckas, Ziad Salem, Martina Szopek, Thomas Schmickl:
Convolutional Neural Network for Honeybee Density Estimation. SSCI 2020: 2558-2566
2010 – 2019
- 2019
- [j20]Daniela Kengyel, Payam Zahadat, Franz Wotawa, Thomas Schmickl:
Towards swarm level optimisation: the role of different movement patterns in swarm systems. Int. J. Parallel Emergent Distributed Syst. 34(3): 241-259 (2019) - [j19]Frank Bonnet, Rob Mills, Martina Szopek, Sarah Schönwetter-Fuchs, José Halloy, Stjepan Bogdan, Luís Correia, Francesco Mondada, Thomas Schmickl:
Robots mediating interactions between animals for interspecies collective behaviors. Sci. Robotics 4(28) (2019) - [c77]Joshua Cherian Varughese, Hannes Hornischer, Ronald Thenius, Franz Wotawa, Thomas Schmickl:
Collective Event Detection Using Bio-inspired Minimalistic Communication in a Swarm of Underwater Robots. ALIFE 2019: 634-641 - [c76]Mostafa Wahby, Julian Petzold, Catriona Eschke, Thomas Schmickl, Heiko Hamann:
Collective Change Detection: Adaptivity to Dynamic Swarm Densities and Light Conditions in Robot Swarms. ALIFE 2019: 642-649 - [i8]Hannes Hornischer, Joshua Cherian Varughese, Ronald Thenius, Franz Wotawa, Manfred Füllsack, Thomas Schmickl:
CIMAX: Collective Information Maximization in Robotic Swarms Using Local Communication. CoRR abs/1903.05444 (2019) - 2018
- [c75]Payam Zahadat, Daniel Nicolas Hofstadler, Thomas Schmickl:
Morphogenesis as a Collective Decision of Agents Competing for Limited Resource: A Plants Approach. ANTS Conference 2018: 84-96 - [c74]Mostafa Wahby, Mary Katherine Heinrich, Daniel Nicolas Hofstadler, Payam Zahadat, Sebastian Risi, Phil Ayres, Thomas Schmickl, Heiko Hamann:
A robot to shape your natural plant: the machine learning approach to model and control bio-hybrid systems. GECCO 2018: 165-172 - [c73]Pedro Mariano, Ziad Salem, Rob Mills, Stefan Schönwetter-Fuchs-Schistek, Luís Correia, Thomas Schmickl:
Evolving robot controllers for a bio-hybrid system. ALIFE 2018: 155-162 - [c72]Payam Zahadat, Thomas Schmickl:
Locomotion as a Result of Displacement of Resources. ALIFE 2018: 232-233 - [i7]Joshua Cherian Varughese, Hannes Hornischer, Ronald Thenius, Payam Zahadat, Franz Wotawa, Thomas Schmickl:
Introduction to WOSPP: Wave Oriented Swarm Programming Paradigm. CoRR abs/1804.04202 (2018) - [i6]Daniel Nicolas Hofstadler, Joshua Cherian Varughese, Stig Anton Nielsen, David Andres Leon, Phil Ayres, Payam Zahadat, Thomas Schmickl:
Artificial Plants - Vascular Morphogenesis Controller-guided growth of braided structures. CoRR abs/1804.06343 (2018) - [i5]Mostafa Wahby, Mary Katherine Heinrich, Daniel Nicolas Hofstadler, Payam Zahadat, Sebastian Risi, Phil Ayres, Thomas Schmickl, Heiko Hamann:
A Robot to Shape your Natural Plant: The Machine Learning Approach to Model and Control Bio-Hybrid Systems. CoRR abs/1804.06682 (2018) - 2017
- [j18]Daniel Nicolas Hofstadler, Mostafa Wahby, Mary Katherine Heinrich, Heiko Hamann, Payam Zahadat, Phil Ayres, Thomas Schmickl:
Evolved Control of Natural Plants: Crossing the Reality Gap for User-Defined Steering of Growth and Motion. ACM Trans. Auton. Adapt. Syst. 12(3): 15:1-15:24 (2017) - [c71]Marsela Polic, Ziad Salem, Karlo Griparic, Stjepan Bogdan, Thomas Schmickl:
Estimation of moving agents density in 2D space based on LSTM neural network. EAIS 2017: 1-8 - [c70]Payam Zahadat, Daniel Nicolas Hofstadler, Thomas Schmickl:
Development of morphology based on resource distribution: Finding the shortest path in a maze by vascular morphogenesis controller. ECAL 2017: 428-429 - [c69]Pedro Mariano, Ziad Salem, Rob Mills, Payam Zahadat, Luís Correia, Thomas Schmickl:
Animal-guided evolutionary computation in honeybees and robots. ECAL 2017: 529-536 - [c68]Joshua Cherian Varughese, Ronald Thenius, Thomas Schmickl, Franz Wotawa:
Quantification and Analysis of the Resilience of Two Swarm Intelligent Algorithms. GCAI 2017: 148-161 - [c67]Payam Zahadat, Daniel Nicolas Hofstadler, Thomas Schmickl:
Vascular morphogenesis controller: a generative model for developing morphology of artificial structures. GECCO 2017: 163-170 - [c66]Pedro Mariano, Ziad Salem, Rob Mills, Payam Zahadat, Luís Correia, Thomas Schmickl:
Design choices for adapting bio-hybrid systems with evolutionary computation. GECCO (Companion) 2017: 211-212 - [c65]Ziad Salem, Gerald Radspieler, Karlo Griparic, Thomas Schmickl:
Estimating Dynamics of Honeybee Population Densities with Machine Learning Algorithms. MOD 2017: 309-321 - [c64]Yannick Oswald, Thomas Schmickl:
Ultimate Ecology: How a socio-economic game can evolve into a resilient ecosystem of agents. SSCI 2017: 1-8 - [c63]Thomas Schmickl:
Fundamentalism in a social learning perspective: A memetic agent model of vegetarianism, social interaction networks and food markets. SSCI 2017: 1-8 - [c62]Martin Stefanec, Martina Szopek, Thomas Schmickl, Rob Mills:
Governing the swarm: Controlling a bio-hybrid society of bees & robots with computational feedback loops. SSCI 2017: 1-8 - [c61]Elisa Donati, Godfried Jansen van Vuuren, Katsuaki Tanaka, Donato Romano, Thomas Schmickl, Cesare Stefanini:
aMussels: Diving and Anchoring in a New Bio-inspired Under-Actuated Robot Class for Long-Term Environmental Exploration and Monitoring. TAROS 2017: 300-314 - [i4]Heiko Hamann, Mohammad Divband Soorati, Mary Katherine Heinrich, Daniel Nicolas Hofstadler, Igor Kuksin, Frank Veenstra, Mostafa Wahby, Stig Anton Nielsen, Sebastian Risi, Tomasz Skrzypczak, Payam Zahadat, Przemyslaw Wojtaszek, Kasper Støy, Thomas Schmickl, Serge Kernbach, Phil Ayres:
Flora robotica - An Architectural System Combining Living Natural Plants and Distributed Robots. CoRR abs/1709.04291 (2017) - 2016
- [j17]Payam Zahadat, Thomas Schmickl:
Division of labor in a swarm of autonomous underwater robots by improved partitioning social inhibition. Adapt. Behav. 24(2): 87-101 (2016) - [j16]Daniela Kengyel, Payam Zahadat, Thomas Kunzfeld, Thomas Schmickl:
Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions. EAI Endorsed Trans. Serious Games 3(9): e2 (2016) - [j15]Christiane Rössler, Magdalena Witzmann, Thomas Schmickl:
A Model of 'Breaking Bad': An Economic Model of Drugs and Population Dynamics Predicts how the TV Series Feeds Back to the Drug Market. Simul. Notes Eur. 26(3): 167-174 (2016) - [c60]Thomas Schmickl, Franz Wotawa, Ronald Thenius, Joshua Cherian Varughese:
FSTaxis Algorithm: Bio-Inspired Emergent Gradient Taxis. ALIFE 2016: 330-337 - [c59]Payam Zahadat, Daniel Nicolas Hofstadler, Thomas Schmickl:
Vascular Morphogenesis Controller: A Distributed Controller for Growing Artificial Structures. FAS*W@SASO/ICCAC 2016: 273-274 - [i3]Thomas Schmickl, Payam Zahadat, Heiko Hamann:
Sooner than Expected: Hitting the Wall of Complexity in Evolution. CoRR abs/1609.07722 (2016) - 2015
- [c58]Daniela Kengyel, Payam Zahadat, Thomas Kunzfeld, Thomas Schmickl:
Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions. BICT 2015: 264-271 - [c57]Michael Bodi, Martina Szopek, Payam Zahadat, Thomas Schmickl:
Evolving Mixed Societies: A one-dimensional modelling approach. BICT 2015: 280-286 - [c56]Payam Zahadat, Heiko Hamann, Thomas Schmickl:
Evolving Collective Behaviors With Diverse But Predictable Sensor States. ECAL 2015: 174 - [c55]Rob Mills, Payam Zahadat, Fernando Silva, Damjan Mlikic, Pedro Mariano, Thomas Schmickl, Luís Correia:
Coordination of collective behaviours in spatially separated agents. ECAL 2015: 579-586 - [c54]Payam Zahadat, Thomas Schmickl:
Evolving Controllers for Programmable Robots to Influence Non-programmable Lifeforms: A Casy Study. EvoApplications 2015: 831-841 - [c53]Payam Zahadat, Heiko Hamann, Thomas Schmickl:
Evolving Diverse Collective Behaviors Independent of Swarm Density. GECCO (Companion) 2015: 1245-1246 - [c52]Daniela Kengyel, Heiko Hamann, Payam Zahadat, Gerald Radspieler, Franz Wotawa, Thomas Schmickl:
Potential of Heterogeneity in Collective Behaviors: A Case Study on Heterogeneous Swarms. PRIMA 2015: 201-217 - [c51]Heiko Hamann, Mostafa Wahby, Thomas Schmickl, Payam Zahadat, Daniel Nicolas Hofstadler, Kasper Støy, Sebastian Risi, Andrés Faiña, Frank Veenstra, Serge Kernbach, Igor Kuksin, Olga Kernbach, Phil Ayres, Przemyslaw Wojtaszek:
Flora Robotica - Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids. SSCI 2015: 1102-1109 - 2014
- [j14]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) - [j13]Payam Zahadat, Thomas Schmickl:
Generation of Diversity in a Reaction-Diffusion-Based Controller. Artif. Life 20(3): 319-342 (2014) - [c50]Payam Zahadat, Thomas Schmickl:
Wolfpack-inspired evolutionary algorithm and a reaction-diffusion-based controller are used for pattern formation. GECCO 2014: 241-248 - [c49]Payam Zahadat, Michael Bodi, Ziad Salem, Frank Bonnet, Marcelo Elias de Oliveira, Francesco Mondada, Karlo Griparic, Tomislav Haus, Stjepan Bogdan, Rob Mills, Pedro Mariano, Luís Correia, Olga Kernbach, Serge Kernbach, Thomas Schmickl:
Social Adaptation of Robots for Modulating Self-Organization in Animal Societies. SASO Workshops 2014: 55-60 - 2013
- [j12]Serge Kernbach, Dagmar Häbe, Olga Kernbach, Ronald Thenius, Gerald Radspieler, Toshifumi Kimura, Thomas Schmickl:
Adaptive collective decision-making in limited robot swarms without communication. Int. J. Robotics Res. 32(1): 35-55 (2013) - [c48]Payam Zahadat, Karl Crailsheim, Thomas Schmickl:
Social Inhibition Manages Division of Labour in Artificial Swarm Systems. ECAL 2013: 609-616 - [c47]Payam Zahadat, Thomas Schmickl, Karl Crailsheim:
Evolution of Spatial Pattern Formation by Autonomous Bio-Inspired Cellular Controllers. ECAL 2013: 721-728 - [c46]Ronald Thenius, Payam Zahadat, Thomas Schmickl:
EMANN - a model of emotions in an artificial neural network. ECAL 2013: 830-837 - [c45]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 - [c44]Tobias Meister, Ronald Thenius, Daniela Kengyel, Thomas Schmickl:
Cooperation of two different swarms controlled by BEECLUST algorithm. ECAL 2013: 1124-1125 - [c43]Jürgen Stradner, Heiko Hamann, Christopher S. F. Schwarzer, Nico K. Michiels, Thomas Schmickl:
Virtual Spatiality in Agent Controllers: Encoding Compartmentalization. EvoApplications 2013: 579-588 - [c42]José Halloy, Francesco Mondada, Serge Kernbach, Thomas Schmickl:
Towards Bio-hybrid Systems Made of Social Animals and Robots. Living Machines 2013: 384-386 - [c41]Thomas Schmickl, Stjepan Bogdan, Luís Correia, Serge Kernbach, Francesco Mondada, Michael Bodi, Alexey Gribovskiy, Sibylle Hahshold, Damjan Miklic, Martina Szopek, Ronald Thenius, José Halloy:
ASSISI: Mixing Animals with Robots in a Hybrid Society. Living Machines 2013: 441-443 - [c40]Thomas Schmickl, Martina Szopek, Michael Bodi, Sibylle Hahshold, Gerald Radspieler, Ronald Thenius, Stjepan Bogdan, Damjan Miklic, Karlo Griparic, Tomislav Haus, Serge Kernbach, Olga Kernbach:
ASSISI: Charged Hot Bees Shakin' in the Spotlight. SASO 2013: 259-260 - [c39]Mark Read, Christoph Möslinger, Tobias Dipper, Daniela Kengyel, James A. Hilder, Ronald Thenius, Andy M. Tyrrell, Jon Timmis, Thomas Schmickl:
Profiling Underwater Swarm Robotic Shoaling Performance Using Simulation. TAROS 2013: 404-416 - 2012
- [j11]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) - [j10]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) - [j9]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) - [c38]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 - [c37]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
- [c36]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 - [c35]Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Coupled inverted pendulums: a benchmark for evolving decentral controllers in modular robotics. GECCO 2011: 195-202 - [c34]Ronald Thenius, Markus Dauschan, Thomas Schmickl, Karl Crailsheim:
Regenerative Abilities in Modular Robots Using Virtual Embryogenesis. ICAIS 2011: 227-237 - [c33]Markus Dauschan, Ronald Thenius, Thomas Schmickl, Karl Crailsheim:
Using Virtual Embryogenesis in Multi-robot Organisms. ICAIS 2011: 238-247 - [c32]Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Thermodynamics of emergence: Langton's ant meets Boltzmann. ALIFE 2011: 62-69 - [c31]Thomas Schmickl, Ronald Thenius, Christoph Möslinger, Jon Timmis, Andy M. Tyrrell, Mark Read, James A. Hilder, José Halloy, Alexandre Campo, Cesare Stefanini, Luigi Manfredi, Stefano Orofino, Serge Kernbach, Tobias Dipper, Donny K. Sutantyo:
CoCoRo - The Self-Aware Underwater Swarm. SASO Workshops 2011: 120-126 - [p1]Thomas Schmickl:
How to Engineer Robotic Organisms and Swarms? - Bio-Inspiration, Bio-Mimicry, and Artificial Evolution in Embodied Self-Organized Systems. Bio-Inspired Self-Organizing Robotic Systems 2011: 25-52 - [i2]Serge Kernbach, Thomas Schmickl, Jon Timmis:
Collective Adaptive Systems: Challenges Beyond Evolvability. CoRR abs/1108.5643 (2011) - 2010
- [j8]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) - [c30]Thomas Schmickl, Heiko Hamann, Jürgen Stradner, Ralf Mayet, Karl Crailsheim:
Complex Taxis-Behaviour in a Novel Bio-Inspired Robot Controller. ALIFE 2010: 648-658 - [c29]Heiko Hamann, Jürgen Stradner, Thomas Schmickl, Karl Crailsheim:
Artificial Hormone Reaction Networks - Towards Higher Evolvability in Evolutionary Multi-Modular Robotics. ALIFE 2010: 773-780 - [c28]Serge Kernbach, Thomas Schmickl, Heiko Hamann, Jürgen Stradner, Florian Schlachter, Christopher S. F. Schwarzer, Alan F. T. Winfield, Rene Matthias:
Adaptive Action Selection Mechanisms for Evolutionary Multimodular Robotics. ALIFE 2010: 781-788 - [c27]Ralf Mayet, Jonathan Roberz, Thomas Schmickl, Karl Crailsheim:
Antbots: A Feasible Visual Emulation of Pheromone Trails for Swarm Robots. ANTS Conference 2010: 84-94 - [c26]Christoph Möslinger, Thomas Schmickl, Karl Crailsheim:
Emergent Flocking with Low-End Swarm Robots. ANTS Conference 2010: 424-431 - [c25]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 - [c24]Ronald Thenius, Michael Bodi, Thomas Schmickl, Karl Crailsheim:
Using Virtual Embryogenesis for Structuring Controllers. ICARIS 2010: 312-313 - [c23]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
- [j7]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) - [j6]Serge Kernbach, Ronald Thenius, Olga Kernbach, Thomas Schmickl:
Re-embodiment of Honeybee Aggregation Behavior in an Artificial Micro-Robotic System. Adapt. Behav. 17(3): 237-259 (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) - [c22]Guy Baele, Nicolas Bredèche, Evert Haasdijk, Steven Maere, Nico K. Michiels, Yves Van de Peer, Thomas Schmickl, Christopher S. F. Schwarzer, Ronald Thenius:
Open-ended on-board Evolutionary Robotics for robot swarms. IEEE Congress on Evolutionary Computation 2009: 1123-1130 - [c21]Marc Szymanski, Lutz Winkler, Davide Laneri, Florian Schlachter, Anne C. van Rossum, Thomas Schmickl, Ronald Thenius:
SymbricatorRTOS: A flexible and Dynamic framework for bio-inspired robot control systems and evolution. IEEE Congress on Evolutionary Computation 2009: 3314-3321 - [c20]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 - [c19]Ronald Thenius, Michael Bodi, Thomas Schmickl, Karl Crailsheim:
Growth of Structured Artificial Neural Networks by Virtual Embryogenesis. ECAL (2) 2009: 118-125 - [c18]Jürgen Stradner, Heiko Hamann, Thomas Schmickl, Ronald Thenius, Karl Crailsheim:
Evolving a Novel Bio-inspired Controller in Reconfigurable Robots. ECAL (1) 2009: 132-139 - [c17]Thomas Schmickl, Karl Crailsheim:
Economics of Specialization in Honeybees - A Multi-agent Simulation Study of Honeybees. ECAL (2) 2009: 358-366 - [c16]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 - [c15]Christoph Möslinger, Thomas Schmickl, Karl Crailsheim:
A Minimalist Flocking Algorithm for Swarm Robots. ECAL (2) 2009: 375-382 - [c14]Heiko Hamann, Thomas Schmickl, Karl Crailsheim:
Evolving for Creativity: Maximizing Complexity in a Self-organized Multi-particle System. ECAL (1) 2009: 442-449 - [c13]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) - [c12]Thomas Schmickl, Karl Crailsheim:
Analysing honeybees' division of labour in broodcare by a multi-agent model. ALIFE 2008: 529-536 - [c11]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 - [c10]Heiko Hamann, Heinz Wörn, Karl Crailsheim, Thomas Schmickl:
Spatial macroscopic models of a bio-inspired robotic swarm algorithm. IROS 2008: 1415-1420 - [c9]Paolo Corradi, Thomas Schmickl, Oliver Scholz, Arianna Menciassi, Paolo Dario:
Optical Networking in a Swarm of Microrobots. NanoNet 2008: 107-119 - [c8]Serge Kernbach, Eugen Meister, Florian Schlachter, Kristof Jebens, Marc Szymanski, Jens Liedke, Davide Laneri, Lutz Winkler, Thomas Schmickl, Ronald Thenius, Paolo Corradi, Leonardo Ricotti:
Symbiotic robot organisms: REPLICATOR and SYMBRION projects. PerMIS 2008: 62-69 - [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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