Publications

2018

• Cazenille, L., Bredeche, N. and Halloy, J. (2018)
  Evolutionary optimisation of neural network models for fish collective behaviours in mixed groups of robots and zebrafish.
  In Conference on Biomimetic and Biohybrid Systems, pp. 85-96. Springer, Cham.

• Cazenille, L., Chemtob, Y., Bonnet, F., Gribovskiy, A., Mondada, F., Bredeche, N. and Halloy, J. (2018)
  How to Blend a Robot within a Group of Zebrafish: Achieving Social Acceptance through Real-time Calibration of a Multi-level Behavioural Model.
  arXiv preprint arXiv:1805.11371.

• Cazenille, L., Collignon, B., Chemtob, Y., Bonnet, F., Gribovskiy, A., Mondada, F., Bredeche, N. and Halloy, J. (2018)
  How mimetic should a robotic fish be to socially integrate into zebrafish groups?
  Bioinspiration & biomimetics, 13(2), p.025001.

• Mariano, P., Salem, Z., Mills, R., Schnwetter-Fuchs-Schistek, S., Correia, L. and Schmickl, T. (2018)
  Evolving robot controllers for a bio-hybrid system.
  In Articial Life Conference Proceedings, pp. 155-162. One Rogers Street, Cambridge, MA 02142-1209 USA journalsinfo@mit. edu: MIT Press.

• Bonnet, F., Gribovskiy, A., Halloy, J. and Mondada, F. (2018)
  Closed-loop interactions between a shoal of zebrafish and a group of robotic fish in a circular corridor.
  Swarm Intelligence, volume 11, issue 36.

2017

• Cazenille, L., Chemtob, Y., Bonnet, F., Gribovskiy, A., Mondada, F., Bredeche, N. and Halloy, J. (2017)
  Automated calibration of a biomimetic space-dependent model for zebrafish and robot collective behaviour in a structured environment,
  In Conference on biomimetic and biohybrid systems, pp. 107-118. Springer, Cham.

• Stefanec, M., Szopek, M., Schmickl, T. and Mills, R. (2017)
  Governing the swarm: Controlling a bio-hybrid society of bees & robots with computational feedback loops,
  In 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-8. IEEE.

• Kengyel, D., Zahadat, P., Wotawa, F. and Schmickl, T. (2017)
  Towards Swarm Level Optimisation: The Role of Different Movement Patterns in Swarm Systems,
  The International Journal of Parallel, Emergent and Distributed Systems, pp. 1-19

• Salem, Z., Radspieler, G., Griparic, K., and Schmickl, T. (2017)
  Estimating dynamics of honeybee population densities with machine learning algorithms,
  The 3rd International Conference on Machine Learning, Optimization & big Data – MOD 2017. LNCS 2017, 13.

• Stefanec, M., Szopek, M., Thenius, R., Radspieler, G. and Schmickl, T. (2017)
  Robotic oligarchy: How a few members can control their whole society by doing almost nothing,
  International Conference on Bio-inspired Information and Communications Technologies (BICT 2017)

• Szopek, M., Stefanec, M., Bodi, M., Radspieler, G. and Schmickl, T. (2017)
  A cellular model of swarm intelligence in bees and robots,
  International Conference on Bio-inspired Information and Communications Technologies (BICT 2017)

• Polic, M., Salem, Z., Griparic, K., Bogdan, S., and Schmickl, T. (2017)
  Estimation of moving agents density in 2D space based on LSTM neural network,
  Proceedings of The 2017 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017), Ljubljana, Slovenia

• Griparic, K., Haus, T., Miklic, D., Polic, M. and Bogdan, S. (2017)
  A robotic system for researching social integration in honeybees,
  PLOS ONE 12(8):e0181977. doi: 10.1371

• Mariano, P., Salem, Z., Mills, R., Zahadat, P., Correia, L., and Schmickl, T. (2017)
  Animal-guided evolutionary computation in honeybees and robots,
  In Proceedings of ECAL 2017, pp. 529-536, MIT Press.

• Mariano, P., Salem, Z., Mills, R., Zahadat, P., Correia, L. and Schmickl, T. (2017)
  Design choices for adapting bio-hybrid systems with evolutionary computation,
  In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 211-212, ACM.

• Bonnet, F., Cazenille, L., Séguret, A., Gribovskiy, A., Collignon, B. E., Halloy, J. and Mondada, F. (2017)
  Design of a modular robotic system that mimics small fish locomotion and body movements for ethological studies,
  International Journal of Advanced Robotic Systems, vol. 14, num. 3

• Bonnet, F., Cazenille, L., Gribovskiy, A., Halloy, J. and Mondada, F. (2017)
  Multi-robot control and tracking framework for bio-hybrid systems with closed-loop interaction,
  Robotics and Automation (ICRA), 2017 IEEE International Conference on, Singapore, Singapore, 29 May-3 June 2017

• Collignon, B., Séguret, A., Chemtob, Y., Cazenille, L. and Halloy, J. (2017)
  Collective departures in zebrafish: profiling the initiators,
  arXiv preprint arXiv:1701.03611

• Séguret, A., Collignon, B., Cazenille, L., Chemtob, Y. and Halloy, J. (2017)
  Loose social organisation of AB strain zebrafish groups in a two-patch environment,
  arXiv preprint arXiv:1701.02572

• Silva, F., Correia, L. and Christensen, A.L. (2017)
  Evolutionary online learning in multirobot systems,
  AI Matters, 3(1), pp.23-24

• Mondada, F. (2017)
  Can Robotics Help Move Researchers Toward Open Science?
  IEEE Robotics and Automation Magazine, vol. 24, num. 1, pp. 111-112

• Ashraf, I., Bradshaw, H., Ha, T.T., Halloy, J., Godoy-Diana, R. and Thiria, B. (2017)
  Simple phalanx pattern leads to energy saving in cohesive sh schooling,
  PNAS 114 (36), 9599-9604.

2016

• Mills, R., Szopek, M., Bodi, M., Schmickl, T. and Correia L. (2016)
  On the timescale of interactions in bio-hybrid systems,
  In C. Gershenson, T. Froese, J.M. Siqueiros, W. Aguilar, E.J. Izquierdo, and H. Sayama, eds., Late Breaking Abstracts booklet Artificial Life Conference 2016.

• Cláudio, A. P., Soeiro, J, Meireles, C. and Betto, L. (2016)
  Observe bees & fish communicating by robots through Virtual Reality! Script to Animate,
  ICERI2016 Proceedings, pp. 2652-2659.

• Mondada, F., Bonnet, E., Davrajh, S., Johal, W. and Stopforth, R. (2016)
  R2T2 Robotics to integrate educational efforts in South Africa and Europe,
  International Journal of Advanced Robotic Systems 13.5 (2016): 1729881416658165.
  (The remote experimentation infrastructure was supported by ASSISIbf.)

• Séguret, A., Collignon, B. and Halloy, J. (2016)
  Strain differences in the collective behaviour of zebrafish (Danio rerio) in heterogeneous environment,
  Royal Society Open Science 3.10 (2016): 160451

• Ashraf, I., Goday-Diana, R., Halloy, J., Collignon, B. and Thiria B. (2016)
  Synchronization and collective swimming patterns in fish (Hemigrammus bleheri),
  J. R. Soc. Interface 13: 20160734.

• Cazenille, L., Bredeche, N. and Halloy, J. (2016)
  Automated optimisation of multi-level models of collective behaviour in a mixed society of animals and robots,
  arXiv preprint arXiv:1602.05830

• Collignon, B., Seguret, A. and Halloy, J. (2016)
  A stochastic vision-based model inspired by zebrafish collective behaviour in heterogeneous environments,
  Open Science, 3(1), 150473.

• Bonnet, F., Kato, Y., Halloy, J. and Mondada, F. (2016)
  Infiltrating the zebrafish swarm: design, implementation and experimental tests of a miniature robotic fish lure for fish-robot interaction studies,
  Artificial Life and Robotics, vol 21, num. 3

• Bonnet, F., Crot, N., Burnier, D. and Mondada, F. (2016)
  Design Methods for Miniature Underwater Soft Robots,
  6th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2016), Singapore 2016

• Nicolis, S.C., Halloy, J. and Deneubourg, J.L. (2016)
  Transition between segregation and aggregation: the role of environmental constraints,
  Scientific Reports, 6, 32703

• Pita, D., Collignon, B., Halloy, J. and Fernández-Juricic,, E. (2016)
  Collective behaviour in vertebrates: a sensory perspective,
  Royal Society open science, 3(11)

2015

• Zahadat, P. and Schmickl T. (2015)
  Evolving Controllers for Programmable Robots to Influence Non-Programmable Lifeforms: A Casy Study,
  Lecture Notes in Computer Science 9028. EvoStar 2015.

• Zahadat, P., Hamann, H. and Schmickl T. (2015)
  Evolving Diverse Collective Behaviors Independent of Swarm Density, Workshop Evolving Collective Behaviors in Robotics,
  GECCO 2015, Madrid, Spain.

• Zahadat, P., Hamann, H. and Schmickl T. (2015)
  Evolving Collective Behaviors With Diverse But Predictable Sensor States,
  13th European Conference on Articial Life (ECAL),York, UK.

• Kengyel, D., Hamann, H., Zahadat, P., Radspieler, G., Wotawa, F. and Schmickl, T. (2015)
  Potential of Heterogeneity in Collective Behaviors: A Case Study on Heterogeneous
  Swarms, Principles and Practice of Multi-Agent Systems, PRIMA 2015.

•  Kengyel, D., Zahadat, P., Kunzfeld, T. and Schmickl T. (2015)
  Collective Decision Making in a Swarm of Robots: Investigating BEECLUST Algorithm in Various Conditions,
  In BICT ’15: Proceedings of the 9th International Conference on Bioinspired Information and Communications Technologies.

•  Cazenille, L., Bredeche, N. and Halloy, J. (2015)
  Multi-objective Optimization of Multi- level Models for Controlling Animal Collective Behaviour with Robots, Biomimetic andBiohybrid Systems,
  4th Internation Conference, Living Machines 2015, Barcelona, Spain, 379-390.

•  Bodi, M., Szopek, M., Zahadat, P. and Schmickl T. (2015)
  Evolving Mixed Societies: A one-dimensional modelling approach,
  In BICT ’15: Proceedings of the 9th International Conference on Bioinspired Information and Communications Technologies.

• Karlo Griparic, Tomislav Haus, Damjan Miklic, Stjepan Bogdan (2015)
  Combined Actuator Sensor Unit for Interaction with Honeybees.
  In Proc. of. IEEE Sensors Applications Symposium (SAS 2015)

• Ana Paula Cláudio, Carolina Meireles and José Soeiro (2015)
  Jogo móvel BeeFish: Inteligência Artificial para movimentar personagens animais.
  In: Procs SciTecIN’15 (VideoJogos track), chapter 15.
  

• Pedro Mariano, Rob Mills, Luís Correia, Damjan Milkić and Stjepan Bogdan (2015)
  ASSISI Playground: A simulation tool for collective bio-hybrid system research.
  In Procs Eurosis Simulation and Modelling Conference, Eurosis-ETI., 91-98

• Rob Mills and Luís Correia (2015)
  The influence of topology in coordinating collective decision-making in bio-hybrid societies.
  In Procs EPIA, Springer. 250-261

• Rob Mills, Payam Zahadat, Fernando Silva, Damjan Milkić, Pedro Mariano, Thomas Schmickl, and Luís Correia (2015)
  Coordination of collective behaviours in spatially separated agents.
  In Procs ECAL, Springer, 579-586

• Frank Bonnet, Yuta Kato, José Halloy and Francesco Mondada (2015)
  Infiltrating the Zebrafish Swarm: Design, Implementation and Experimental Tests of a Miniature Robotic Fish Lure for Fish-Robot Interaction Studies.
  SWARM 2015: The First International Symposium on Swarm Behavior and Bio-Inspired Robotics, Kyoto, Japan, 18-25

• Pedro Mariano & Luís Correia (2015)
  Partner selection delays extinction in cooperative and coordination dilemmas.
  In Grimaldo, F. & Norling, E. editors, Multi-Agent-Based Simulation XV, Lecture Notes in Computer Science, Springer International Publishing, 88-103

• Fernando Silva, Luís Correia, Anders Lyhne Christensen (2015)
  Modelling Synchronisation in Mulitrobot Systems with Cellular Automata: Analysis of Update Methods and Topology Perturbations.
  In Sirakuoulis, G. & Adamatzky, A. editors, Robots and Lattice Automata. Emergence, Complexity and Computation 13, Springer International Publishing, 267-293

2014

• 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 (2014)
  Social adaptation of robots for modulating self-organization in animal societies .
  2nd FoCAS Workshop on Fundamentals of Collective Systems

• Payam Zahadat, Thomas Schmickl (2014)
  Wolfpack-inspired Evolutionary Algorithm and a Reaction-Diffusion-based Controller are used for Pattern Formation.
  Genetic and Evolutionary Computation Conference (GECCO 2014), Vancouver, Canada, 241-248
  
  

• G. A. Sartoretti, M.-O. Hongler, M. Elias de Oliveira and F. Mondada (2014)
  Decentralized Self-Selection of Swarm Trajectories: From Dynamical Systems Theory to Robotic Implementation.
  Swarm Intelligence, vol. 8, num. 4, 329-351

• F. Bonnet, S. Binder, M. Elias de Oliveira, J. Halloy and F. Mondada (2014)
  A Miniature Mobile Robot Developed to be Socially Integrated with Species of Small Fish.
  In Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 747-752

• Ziad Salem, Thomas Schmickl (2014)
  The efficiency of the RULES-4 classification learning algorithm in predicting the density of agents.
  Cogent Engineering 1: 986262

• Tomislav Haus, Ivana Palunko, Domagoj Tolic, Stjepan Bogdan, Frank L. Lewis, Dariusz G. Mikulski (2014)
  Trust-based self-organising network control.
  IET Control Theory & Applications 8, 2126-2135

• Andrea Perna, Guillaume Grégoire, Richard P. Mann (2014)
  On the duality between interaction responses and mutual positions in flocking and schooling.
  Movement Ecology, 2:22

• Sibylle Hahshold, Renate Ploder, Gerald Radspieler, Thomas Schmickl, Karl Crailsheim (2014)
  Temperature preferendum of single, young honeybees.
  Abstract in Entomologica Austriaca  21, 240

• Martina Szopek, Sibylle Hahshold, Ronald Thenius, Michael Bodi, Karl Crailsheim, Thomas Schmickl (2014)
  ASSISIbf: Honeybees and robots form a bio-hybrid society.
  Abstract in Entomologica Austriaca 21, 242-243