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Wednesday, 24 November 2010 14:40

The reference publication on the e-puck robot is:

Mondada, F., Bonani, M., Raemy, X., Pugh, J., Cianci, C., Klaptocz, A., Magnenat, S., Zufferey, J.-C., Floreano, D. and Martinoli, A. (2009) The e-puck, a Robot Designed for Education in Engineering. Proceedings of the 9th Conference on Autonomous Robot Systems and Competitions, 1(1) pp. 59-65.

Publications that mention the e-puck robot (alphabetical order by first author) are listed below. If you have a publication using the e-puck and not listed here plase sens the bibtex information to Francesco Mondada.

[1] Wenguo Liu and Alan FT Winfield. Open-hardware e-puck linux extension board for experimental swarm robotics research. Microprocessors and Microsystems, In Press, Accepted Manuscript:-, 2010. [ DOI | http ]
[2] E. Barakova and W. Chonnaparamutt. Timing sensory integration. Robotics Automation Magazine, IEEE, 16(3):51 -58, september 2009. [ DOI ]
[3] F. Ducatelle, A. Förster, G. Di Caro, and L.M. Gambardella. Supporting navigation in multi-robot systems through delay tolerant network communication. In IFAC Workshop on Networked Robotics (NetRob 2009), October 2009.
[4] C.M. Cianci, X. Raemy, J. Pugh, and A. Martinoli. Communication in a swarm of miniature robots: The e-puck as an educational tool for swarm robotics. In Swarm Robotics: Second Sab 2006 International Workshop, Rome, Italy, September 30-October 1, 2006 Revised Selected Papers, page 103. Springer Verlag, 2007.
[5] S. Ljungblad and L.E. Holmquist. Transfer scenarios: grounding innovation with marginal practices. In Proceedings of the SIGCHI conference on Human factors in computing systems, pages 737-746. ACM New York, NY, USA, 2007.
[6] EA Antonelo, B. Schrauwen, and D. Stroobandt. Event detection and localization for small mobile robots using reservoir computing. Neural Networks, 21(6):862-871, 2008.
[7] M. Jacobsson, S. Ljungblad, J. Bodin, J. Knurek, and L.E. Holmquist. GlowBots: robots that evolve relationships. In International Conference on Computer Graphics and Interactive Techniques. ACM New York, NY, USA, 2007.
[8] A. Acerbi, D. Marocco, and S. Nolfi. Social facilitation on the development of foraging behaviors in a population of autonomous robots. LECTURE NOTES IN COMPUTER SCIENCE, 4648:625, 2007.
[9] Y.F.O. Mohammad and T. Nishida. Talkback: Feedback from a miniature robot. LECTURE NOTES IN COMPUTER SCIENCE, 4830:357, 2007.
[10] N. Correll, C. Cianci, X. Raemy, and A. Martinoli. Self-Organized Embedded Sensor/Actuator Networks for “Smart” Turbines. In IROS 2006 Workshop: Network Robot System: Toward intelligent robotic systems integrated with environments, 2006.
[11] V.M. Trifa, C.M. Cianci, and D. Guinard. Dynamic Control of a Robotic Swarm using a Service-Oriented Architecture. In Proceedings of International Symposium on Artificial Life and Robotics, Beppu, Japan, 2008.
[12] S. Ljungblad, K. Walter, M. Jacobsson, and L.E. Holmquist. Designing personal embodied agents with personas. In Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on, pages 575-580, Sept. 2006. [ DOI ]
[13] L.S. Marcolino and L. Chaimowicz. No robot left behind: Coordination to overcome local minima in swarm navigation. In IEEE International Conference on Robotics and Automation, 2008. ICRA 2008, pages 1904-1909, 2008.
[14] G. Pini, E. Tuci, and M. Dorigo. Evolution of social and individual learning in autonomous robots. In Ecal Workshop: Social Learning in Embodied Agents, 2007.
[15] J. Pugh and A. Martinoli. Inspiring and modeling multi-robot search with Particle Swarm Optimization. In IEEE Swarm Intelligence Symposium, 2007. SIS 2007, pages 332-339, 2007.
[16] C.M. Cianci, J. Pugh, and A. Martinoli. Exploration of an incremental suite of microscopic models for acoustic event monitoring using a robotic sensor network. In IEEE International Conference on Robotics and Automation, 2008. ICRA 2008, pages 3290-3295, 2008.
[17] O. Michel, F. Rohrer, and Y. Bourquin. Rat's Life: A Cognitive Robotics Benchmark. Algorithmic Foundations of Robotics VI, page 223, 2005.
[18] M. Jacobsson, Y. Fernaeus, and E. Holmquist. GlowBots: Designing and Implementing Engaging Human-Robot Interaction. Journal of Physical Agents, 2(2):51, 2008.
[19] S. Amizadeh, M.N. Ahmadabadi, B.N. Araabi, and R. Siegwart. A Bayesian approach to conceptualization using reinforcement learning. In Advanced intelligent mechatronics, 2007 ieee/asme international conference on, pages 1-7, 2007.
[20] Y. Xu, M. Guillemot, and T. Nishida. An experiment study of gesture-based human-robot interface. In IEEE/ICME International Conference on Complex Medical Engineering, 2007. CME 2007, pages 457-463, 2007.
[21] J. Pugh and A. Martinoli. The Cost of Reality: Effects of Real-World Factors on Multi-Robot Search. In Proceedings of the 2007 IEEE International Conference on Robotics and Automation, Roma, Italy, 2007.
[22] P. Roduit, A. Martinoli, and J. Jacot. A quantitative method for comparing trajectories of mobile robots using point distribution models. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007. IROS 2007, pages 2441-2448. Citeseer, 2007.
[23] A. Acerbi, F. Cecconi, D. Marocco, and S. Zappacosta. Individual vs Social Learning in a Population of Autonomous Robots. In Proceedings of the ECAL, pages 10-14, 2007.
[24] Louis-Emmanuel Martinet, Jean-Baptiste Passot, Benjamin Fouque, Jean-Arcady Meyer, and Angelo Arleo. Map-based spatial navigation: A cortical column model for action planning. In Proceedings of the international conference on Spatial Cognition VI, pages 39-55, Berlin, Heidelberg, 2008. Springer-Verlag. [ DOI ]
[25] Mattias Jacobsson, Johan Bodin, and Lars Erik Holmquist. The see-puck: a platform for exploring human-robot relationships. In CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, pages 141-144, New York, NY, USA, 2008. ACM. [ DOI ]
[26] T. Lochmatter, P. Roduit, C. Cianci, N. Correll, J. Jacot, and A. Martinoli. Swistrack-a flexible open source tracking software for multi-agent systems. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nice, France, 2008.
[27] O. Gigliotta and S. Nolfi. Formation of spatial representations in evolving autonomous robots. In IEEE Symposium on Artificial Life, 2007. ALIFE'07, pages 171-178, 2007.
[28] C.M. Cianci, T. Lochmatter, J. Pugh, and A. Martinoli. Toward multi-level modeling of robotic sensor networks: A case study in acoustic event monitoring. In Proceedings of the 1st international conference on Robot communication and coordination. IEEE Press Piscataway, NJ, USA, 2007.
[29] H. Firouzi, M.N. Ahmadabadi, and B.N. Araabi. A Probabilistic Reinforcement-Based Approach to Conceptualization. International Journal of Intelligent Technology, 3:48-55, 2008.
[30] O. Gigliotta, S. Nolfi, and I. Roma. On the coupling between agent internal and agent/environmental dynamics: Development of spatial representations in evolving autonomous robots. Adaptive Behavior, 16(2):148-165, 2008.
[31] A. Whitbrook, U. Aickelin, and J. Garibaldi. Genetic-Algorithm Seeding Of Idiotypic Networks For Mobile-Robot Navigation. ArXiv e-prints, March 2008. [ arXiv ]
[32] V. Sperati, V. Trianni, and S. Nolfi. Evolving coordinated group behaviours through maximisation of mean mutual information. Swarm Intelligence, 2(2):73-95, 2008.
[33] T. Gonos and B. Webb. Using homeostatic neurons for sensor self-calibration, 2008.
[34] Dario Floreano, Sara Mitri, and Julien Hubert. A Robotic Platform for Studying the Evolution of Communication. In Evolution of Communication and Language in Embodied Agents, pages 303-306. Springer Verlag, Berlin, 2008. [ DOI ]
[35] G. Capi, G. Pojani, and S.I. Kaneko. Evolution of Task Switching Behaviors in Real Mobile Robots. In Innovative Computing Information and Control, 2008. ICICIC'08. 3rd International Conference on, pages 495-495, 2008. [ DOI ]
[36] W. Chonnaparamutt and E.I. Barakova. Robot Simulation of Sensory Integration Dysfunction in Autism with Dynamic Neural Fields Model. In Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing, pages 741-751. Springer, 2006.
[37] Á. Gutiérrez, E. Tuci, and A. Campo. Evolution of Neuro-Controllers for Robots' Alignment using Local Communication. International Journal of Advanced Robotic Systems, 6(1), 2009.
[38] H. Fukuda and K. Ueda. The Difference in the Manner of Interacting with a Moving Robot Influences Animacy Perception. In Proceedings of the 30th Annual Conference of the Cognitive Science Society, pages 2480-2484, 2008.
[39] D. Vanderelst and E. Barakova. Autonomous Parsing of Behavior in a Multi-agent Setting. Lecture Notes in Computer Science, 5097:1198-1209, 2008.
[40] I. Navarro, Á. Gutiérrez, F. Matía, and F. Monasterio-Huelin. An Approach to Flocking of Robots Using Minimal Local Sensing and Common Orientation. In Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems, pages 616-624. Springer, 2008.
[41] K. Ioannidis, G.C. Sirakoulis, and I. Andreadis. A Cellular Automaton Collision-Free Path Planner Suitable for Cooperative Robots. In Informatics, 2008. PCI'08. Panhellenic Conference on, pages 256-260, 2008.
[42] Stéphane Magnenat, Philippe Rétornaz, Basilio Noris, and Francesco Mondada. Scripting the swarm: event-based control of microcontroller-based robots. In International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR) 2008, 2008. Workshop Proceedings ISBN: 978-88-95872-01-8. [ http ]
[43] W. Burgard et al. Audio-Visual Detection of Multiple Chirping Robots. Intelligent Autonomous Systems 10: IAS-10, page 324, 2008.
[44] Peter Dürr, Claudio Mattiussi, Andrea Soltoggio, and Dario Floreano. Evolvability of Neuromodulated Learning for Robots. In The 2008 ECSIS Symposium on Learning and Adaptive Behavior in Robotic Systems, pages 41-46, Los Alamitos, CA, 2008. IEEE Computer Society. [ http | http ]
[45] G. Pini and E. Tuci. On the design of neuro-controllers for individual and social learning behaviour in autonomous robots: an evolutionary approach. Connection Science, 20(2):211-230, 2008.
[46] T. Otani and M. Koshino. Applying a path planner based on RRT to cooperative multirobot box-pushing. Artificial Life and Robotics, 13(2):418-422, 2009.
[47] S. Slusny, R. Neruda, and P. Vidnerova. Learning Algorithms for Small Mobile Robots: Case Study on Maze Exploration. In Proceedings of the Conference on Theory and Practice of Information Technologies, 2008.
[48] B. Johansson and C. Balkenius. Learning to Anticipate the Movements of Intermittently Occluded Objects. In Proceedings of the Eighth International Conference on Epigenetic Robotics, Lund University Cognitive Studies, 139, 2008.
[49] J. Pugh and A. Martinoli. Distributed Adaptation in Multi-robot Search Using Particle Swarm Optimization. Lecture Notes in Computer Science, 5040:393-402, 2008.
[50] Stanislav Slušný, Roman Neruda, and Petra Vidnerová. Comparison of rbf network learning and reinforcement learning on the maze exploration problem. In ICANN '08: Proceedings of the 18th international conference on Artificial Neural Networks, Part I, pages 720-729, Berlin, Heidelberg, 2008. Springer-Verlag. [ DOI ]
[51] T. Sakakibara and D. Kurabayashi. Artificial Pheromone System Using RFID for Navigation of Autonomous Robots. Journal of Bionic Engineering, 4(4):245-253, 2007.
[52] T. Shimone, D. Kurabayashi, K. Okita, and T. Funato. Implementation of Formation Transition System using Synchronization in a Mobile Robot Group. In Field and Service Robotics: Results of the 6 th International Conference(STAR: Springer Tracts in Advanced Robotics Series Volume 42), volume 42, pages 423-432. Springer, 2008.
[53] L. Berthouze, CG Prince, M. Littman, H. Kozima, and C. Balkenius. Adaptation and Social Facilitation in a Population of Autonomous Robots. In Proceedings of the Seventh International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, Lund University Cognitive Studies, 135, 2007.
[54] Agostino Martinelli. Using the Distribution Theory to Simultaneously Calibrate the Sensors of a Mobile Robot. Research Report RR-6796, INRIA, 2009. [ http ]
[55] M. Siebold and J. Hereford. Easily scalable algorithms for dispersing autonomous robots. IEEE Southeastcon, 2008, pages 545-550, 2008.
[56] François Rey, Michele Leidi, and Francesco Mondada. Interactive Mobile Robotic Drinking Glasses. In Distributed Autonomous Robotic Systems 2008 (DARS2008), pages 543-551, Berlin Heidelberg, 2009. Springer. [ DOI | http ]
[57] C.M. Cianci, J. Nembrini, A. Prorok, and A. Martinoli. Assembly of Configurations in a Networked Robotic System: A Case Study on a Reconfigurable Interactive Table Lamp. In IEEE Swarm Intelligence Symposium, 2008. SIS 2008, pages 1-7, 2008.
[58] Y. Mohammad and T. Nishida. Human adaptation to a miniature robot: Precursors of mutual adaptation. In Robot and Human Interactive Communication, 2008. RO-MAN 2008. The 17th IEEE International Symposium on, pages 124-129, 2008.
[59] F. Alnajjar, I.B.M. Zin, and K. Murase. A Spiking Neural Network with dynamic memory for a real autonomous mobile robot in dynamic environment. In IEEE International Joint Conference on Neural Networks, 2008. IJCNN 2008.(IEEE World Congress on Computational Intelligence), pages 2207-2213, 2008.
[60] Stanislav Slušný, Roman Neruda, and Petra Vidnerová. Rule-based analysis of behaviour learned by evolutionary and reinforcement algorithms. In ICIC '08: Proceedings of the 4th international conference on Intelligent Computing, pages 284-291, Berlin, Heidelberg, 2008. Springer-Verlag. [ DOI ]
[61] J. Pugh and A. Martinoli. An Exploration of Online Parallel Learning in Heterogeneous Multi-Robot Swarms. Design and Control of Intelligent Robotic Systems, page 133, 2009.
[62] L.E. Martinet, B. Fouque, J.B. Passot, J.A. Meyer, and A. Arleo. Modelling the Cortical Columnar Organisation for Topological State-Space Representation, and Action Planning. Lecture Notes in Computer Science, 5040:137-147, 2008.
[63] C. Balkenius, J. Moren, B. Johansson, and M. Johnsson. Ikaros: Building Cognitive Models for Robots. In Workshop on current software frameworks in cognitive robotics integrating different computational paradigms, 2008.
[64] K. Cheng and P. Dasgupta. Coalition game-based distributed coverage of unknown environments by robot swarms. In Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems-Volume 3, pages 1191-1194. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, 2008.
[65] J. Pugh and A. Martinoli. Parallel learning in heterogeneous multi-robot swarms. In IEEE Congress on Evolutionary Computation, Singapore, Sept, pages 25-28. Citeseer, 2007.
[66] Y. Mohammad and T. Nishida. Getting feedback from a miniature robot. In Information and Automation, 2008. ICIA 2008. International Conference on, pages 941-947, 2008.
[67] F. Rastegar and MN Ahmadabadi. Grounding abstraction in sensory experience. In Advanced intelligent mechatronics, 2007 ieee/asme international conference on, pages 1-8, 2007.
[68] A. Gutierrez, A. Campo, M. Dorigo, D. Amor, L. Magdalena, F. Monasterio-Huelin, and S. Madrid. An Open Localisation and Local Communication Embodied Sensor. Sensors, 8:7545-7563, 2008.

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