Bio-Inspired Self-Organizing Robotic Systems

Part I: Self-Organizing Swarm Robotic Systems .- Part II: Self-Reconfigurable Modular Robots .- Part III: Autonomous Mental Development in Robotic Systems .- Part IV: Special Applications Part III: Autonomous Mental Development in Robotic Systems .- Part IV: Special Applications.

[1]  Petter Ögren,et al.  Cooperative control of mobile sensor networks:Adaptive gradient climbing in a distributed environment , 2004, IEEE Transactions on Automatic Control.

[2]  Reza Olfati-Saber,et al.  Flocking for multi-agent dynamic systems: algorithms and theory , 2006, IEEE Transactions on Automatic Control.

[3]  Mauro Birattari,et al.  Swarm Intelligence , 2012, Lecture Notes in Computer Science.

[4]  L P Noldus,et al.  EthoVision: A versatile video tracking system for automation of behavioral experiments , 2001, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[5]  Guy Theraulaz,et al.  The formation of spatial patterns in social insects: from simple behaviours to complex structures , 2003, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[6]  Mac Schwager,et al.  Distributed Coverage Control with Sensory Feedback for Networked Robots , 2006, Robotics: Science and Systems.

[7]  P. Backwell,et al.  Experiments with robots explain synchronized courtship in fiddler crabs , 2008, Current Biology.

[8]  Lorenzo Dematté,et al.  GPU computing for systems biology , 2010, Briefings Bioinform..

[9]  R. Olfati-Saber.  Distributed Tracking for Mobile Sensor Networks with Information-Driven Mobility , 2007, 2007 American Control Conference.

[10]  James D. Thomson,et al.  An automated system for tracking and identifying individual nectar foragers at multiple feeders , 2010, Behavioral Ecology and Sociobiology.

[11]  N. Franceschini,et al.  From insect vision to robot vision , 1992 .

[12]  J. Deneubourg,et al.  Probabilistic behaviour in ants: A strategy of errors? , 1983 .

[13]  A. Mogilner,et al.  Mathematical Biology Mutual Interactions, Potentials, and Individual Distance in a Social Aggregation , 2003 .

[14]  Roland Siegwart,et al.  Perception and behavior of InsBot : Robot-Animal interaction issues , 2005, 2005 IEEE International Conference on Robotics and Biomimetics - ROBIO.

[15]  Zongli Lin,et al.  Flocking of Multi-Agents With a Virtual Leader , 2009, IEEE Transactions on Automatic Control.

[16]  Naomi Ehrich Leonard,et al.  Virtual leaders, artificial potentials and coordinated control of groups , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[17]  Hong Zhang,et al.  Collective Robotics: From Social Insects to Robots , 1993, Adapt. Behav..

[18]  Guy Theraulaz,et al.  The biological principles of swarm intelligence , 2007, Swarm Intelligence.

[19]  Guy Theraulaz,et al.  Self-Organized Aggregation Triggers Collective Decision Making in a Group of Cockroach-Like Robots , 2009, Adapt. Behav..

[20]  N. Isaac,et al.  Radio-Tagging Technology Reveals Extreme Nest-Drifting Behavior in a Eusocial Insect , 2007, Current Biology.

[21]  B. Webb,et al.  Can robots make good models of biological behaviour? , 2001, Behavioral and Brain Sciences.

[22]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[23]  N. Tinbergen,et al.  On the Stimulus Situation Releasing the Begging Response in the Newly Hatched Herring Gull Chick (Larus Argentatus Argentatus Pont.) , 1951 .

[24]  Marco Dorigo,et al.  Division of labor in a group of robots inspired by ants' foraging behavior , 2006, TAAS.

[25]  G. Theraulaz,et al.  Response threshold reinforcements and division of labour in insect societies , 1998, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[26]  B. Webb.  What does robotics offer animal behaviour? , 2000, Animal Behaviour.

[27]  Paul Y. Oh,et al.  Autonomous Landing for Indoor Flying Robots Using Optic Flow , 2003 .

[28]  D. Floreano,et al.  Evolutionary Conditions for the Emergence of Communication in Robots , 2007, Current Biology.

[29]  Dirk Helbing,et al.  Optimal traffic organization in ants under crowded conditions , 2004, Nature.

[30]  J. Deneubourg,et al.  The blind leading the blind: Modeling chemically mediated army ant raid patterns , 1989, Journal of Insect Behavior.

[31]  R. Menzel,et al.  Cognitive architecture of a mini-brain: the honeybee , 2001, Trends in Cognitive Sciences.

[32]  Guy Theraulaz,et al.  Path selection and foraging efficiency in Argentine ant transport networks , 2009, Behavioral Ecology and Sociobiology.

[33]  J. Deneubourg,et al.  Collective decisions in ants when foraging under crowded conditions , 2006, Behavioral Ecology and Sociobiology.

[34]  Rodney M. Goodman,et al.  Distributed odor source localization , 2002 .

[35]  D. Floreano,et al.  The evolution of information suppression in communicating robots with conflicting interests , 2009, Proceedings of the National Academy of Sciences.

[36]  Manuel López-Ibáñez,et al.  Ant colony optimization , 2010, GECCO '10.

[37]  Guy Theraulaz,et al.  Path efficiency of ant foraging trails in an artificial network. , 2006, Journal of theoretical biology.

[38]  Guy Theraulaz,et al.  Alice in Pheromone Land: An Experimental Setup for the Study of Ant-like Robots , 2007, 2007 IEEE Swarm Intelligence Symposium.

[39]  R. Matthews,et al.  Ants. , 1898, Science.

[40]  Nikolaus Correll,et al.  SwisTrack: A Tracking Tool for Multi-Unit Robotic and Biological Systems , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[41]  I. Couzin,et al.  Social interactions, information use, and the evolution of collective migration , 2010, Proceedings of the National Academy of Sciences.

[42]  W. Rappel,et al.  Self-organization in systems of self-propelled particles. , 2000, Physical review. E, Statistical, nonlinear, and soft matter physics.

[43]  F. Zambonelli,et al.  Spreading Pheromones in Everyday Environments through RFID Technology , 2005 .

[44]  Nicolas H. Franceschini,et al.  Optic flow regulation: the key to aircraft automatic guidance , 2005, Robotics Auton. Syst..

[45]  George J. Pappas,et al.  Flocking in Fixed and Switching Networks , 2007, IEEE Transactions on Automatic Control.

[46]  T. O. Richardson,et al.  Radio tagging reveals the roles of corpulence, experience and social information in ant decision making , 2009, Behavioral Ecology and Sociobiology.

[47]  Dervis Karaboga,et al.  A survey: algorithms simulating bee swarm intelligence , 2009, Artificial Intelligence Review.

[48]  L P Noldus,et al.  The Observer Video-Pro: New software for the collection, management, and presentation of time-structured data from videotapes and digital media files , 2000, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[49]  Amanda J. C. Sharkey,et al.  Swarm robotics and minimalism , 2007, Connect. Sci..

[50]  Leslie Pack Kaelbling,et al.  Ecological Robotics: Controlling Behavior with Optical Flow , 1995 .

[51]  J.J. Gu,et al.  Collective robotics - a survey of control and communication techniques , 2004, 2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings..

[52]  J. Deneubourg,et al.  Self-organization mechanisms in ant societies. II: Learning in foraging and division of labor , 1987 .

[53]  Guy Theraulaz,et al.  Are ants sensitive to the geometry of tunnel bifurcation? , 2008, Animal Cognition.

[54]  Jean-Arcady Meyer,et al.  The Psikharpax project: towards building an artificial rat , 2005, Robotics Auton. Syst..

[55]  E. Fernández-Juricic,et al.  A dynamic method to study the transmission of social foraging information in flocks using robots , 2006, Animal Behaviour.

[56]  Alcherio Martinoli,et al.  Small-Scale Robot Formation Movement Using a Simple On-Board Relative Positioning System , 2006, ISER.

[57]  Stephen Cameron,et al.  Experiments in automatic flock control , 2000, Robotics Auton. Syst..

[58]  Chris Melhuish,et al.  Patch Sorting: Multi-object Clustering Using Minimalist Robots , 2001, ECAL.

[59]  F Mondada,et al.  Social Integration of Robots into Groups of Cockroaches to Control Self-Organized Choices , 2007, Science.

[60]  Alcherio Martinoli,et al.  Collective Complexity out of Individual Simplicity , 2001, Artificial Life.

[61]  I. Couzin,et al.  Collective memory and spatial sorting in animal groups. , 2002, Journal of theoretical biology.

[62]  D. Gordon.  The organization of work in social insect colonies , 1996, Nature.

[63]  Roland Siegwart,et al.  Mobile micro-robots ready to use: Alice , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[64]  H. Kitano.  Systems Biology: A Brief Overview , 2002, Science.

[65]  Nikolaus Correll,et al.  Robust Distributed Coverage using a Swarm of Miniature Robots , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[66]  Kevin M. Passino,et al.  Stable social foraging swarms in a noisy environment , 2004, IEEE Transactions on Automatic Control.

[67]  Guy Theraulaz,et al.  The Embodiment of Cockroach Aggregation Behavior in a Group of Micro-robots , 2008, Artificial Life.

[68]  Richard M. Murray,et al.  Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.

[69]  J. Deneubourg,et al.  Collective patterns and decision-making , 1989 .

[70]  Craig W. Reynolds.  Flocks, herds, and schools: a distributed behavioral model , 1998 .

[71]  W. Kirchner,et al.  How honeybees perceive communication dances, studied by means of a mechanical model , 1992, Behavioral Ecology and Sociobiology.

[72]  D. Vrinten,et al.  ‘CatWalk’ automated quantitative gait analysis as a novel method to assess mechanical allodynia in the rat; a comparison with von Frey testing , 2003, Pain.

[73]  W. Tschinkel.  Subterranean ant nests: trace fossils past and future? , 2003 .

[74]  J. Deneubourg,et al.  Self-organized structures in a superorganism: do ants "behave" like molecules? , 2006 .

[75]  I D Couzin,et al.  Self-organized lane formation and optimized traffic flow in army ants , 2003, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[76]  Andries Petrus Engelbrecht,et al.  Fundamentals of Computational Swarm Intelligence , 2005 .

[77]  W. Tschinkel,et al.  Nest architecture of the ant Formica pallidefulva: structure, costs and rules of excavation , 2004, Insectes Sociaux.

[78]  Weihua Sheng,et al.  Flocking control of a mobile sensor network to track and observe a moving target , 2009, 2009 IEEE International Conference on Robotics and Automation.

[79]  Franco Zambonelli,et al.  Pervasive pheromone-based interaction with RFID tags , 2007, TAAS.