A Hierarchical Gene Regulatory Network for Adaptive Multirobot Pattern Formation
暂无分享,去创建一个
[1] Hidde de Jong,et al. Modeling and Simulation of Genetic Regulatory Systems: A Literature Review , 2002, J. Comput. Biol..
[2] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.
[3] Yan Meng,et al. A Morphogenetic Approach to Self-Reconfigurable Modular Robots using a Hybrid Hierarchical Gene Regulatory Network , 2010, ALIFE.
[4] Yan Meng,et al. LIVS: Local Interaction via Virtual Stigmergy coordination in distributed search and collective cleanup , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[5] Francesco Mondada,et al. Understanding collective aggregation mechanisms: From probabilistic modelling to experiments with real robots , 1999, Robotics Auton. Syst..
[6] Radhika Nagpal,et al. Extended stigmergy in collective construction , 2006, IEEE Intelligent Systems.
[7] V. Hakim,et al. Design of genetic networks with specified functions by evolution in silico. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[8] Chrystopher L. Nehaniv,et al. Evolving Embodied Genetic Regulatory Network-Driven Control Systems , 2003, ECAL.
[9] Gaurav S. Sukhatme,et al. A generalized region-based approach for multi-target tracking in outdoor environments , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[10] Radhika Nagpal,et al. Robust and Self-Repairing Formation Control for Swarms of Mobile Agents , 2005, AAAI.
[11] Les A. Piegl,et al. The NURBS book (2nd ed.) , 1997 .
[12] Guillermo Sapiro,et al. Fourth order partial differential equations on general geometries , 2006, J. Comput. Phys..
[13] Yan Meng,et al. Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model , 2011, IEEE Computational Intelligence Magazine.
[14] Yu-Ping Tian,et al. A backstepping design for directed formation control of three‐coleader agents in the plane , 2009 .
[15] Wei-Min Shen,et al. Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms , 2004, Auton. Robots.
[16] D. R. Lloyd,et al. Microporous membrane formation via thermally induced phase separation. I. Solid-liquid phase separation , 1990 .
[17] Alcherio Martinoli,et al. Distributed Adaptation in Multi-robot Search Using Particle Swarm Optimization , 2008, SAB.
[18] Masafumi Yamashita,et al. Distributed Anonymous Mobile Robots: Formation of Geometric Patterns , 1999, SIAM J. Comput..
[19] John Hallam,et al. An approach to time- and space-differentiated pattern formation in multi-robot systems , 1992 .
[20] Yan Meng,et al. Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System , 2009, 2009 Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems.
[21] P.N. Pathirana,et al. Geometric formations in swarm aggregation: An artificial formation force based approach , 2007, 2007 Third International Conference on Information and Automation for Sustainability.
[22] Risto Miikkulainen,et al. A Taxonomy for Artificial Embryogeny , 2003, Artificial Life.
[23] Alcherio Martinoli,et al. Modeling Swarm Robotic Systems: a Case Study in Collaborative Distributed Manipulation , 2004, Int. J. Robotics Res..
[24] Lynne E. Parker,et al. Distributed heterogeneous outdoor multi-robot localization , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).
[25] Alessandro Saffiotti,et al. Multirobot Object Localization: A Fuzzy Fusion Approach , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[26] A. Wagner,et al. Innovation and robustness in complex regulatory gene networks , 2007, Proceedings of the National Academy of Sciences.
[27] Gaurav S. Sukhatme,et al. Cooperative Multi-robot Target Tracking , 2006, DARS.
[28] Jaap A. Kaandorp,et al. Efficient parameter estimation for spatio-temporal models of pattern formation: case study of Drosophila melanogaster , 2007, Bioinform..
[29] Jeffrey V. Nickerson,et al. Multi-robot Aggregation Strategies with Limited Communication , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[30] P. E. Hotz. 16 – Combining developmental processes and their physics in an artificial evolutionary system to evolve shapes , 2003 .
[31] Ziyang Meng,et al. Leaderless and Leader-Following Consensus With Communication and Input Delays Under a Directed Network Topology , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[32] Yan Meng,et al. Emergence of robust regulatory motifs from in silico evolution of sustained oscillation , 2011, Biosyst..
[33] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[34] Stergios I. Roumeliotis,et al. On the Performance of Multi-robot Target Tracking , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[35] Stergios I. Roumeliotis,et al. Distributed Multi-Robot Localization , 2000, DARS.
[36] Dmitri Papatsenko,et al. A self-organizing system of repressor gradients establishes segmental complexity in Drosophila , 2003, Nature.
[37] Ralph Roskies,et al. Fourier Descriptors for Plane Closed Curves , 1972, IEEE Transactions on Computers.
[38] Yaochu Jin,et al. A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network , 2009, Biosyst..
[39] Jonathan M. Garibaldi,et al. Multi-Robot Search and Rescue: A Potential Field Based Approach , 2007 .
[40] Andreas Zell,et al. A model-predictive approach to formation control of omnidirectional mobile robots , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[41] Luciano da Fontoura Costa,et al. Pattern formation in a gene network model with boundary shape dependence. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[42] Bernhard Sendhoff,et al. Global shape with morphogen gradients and motile polarized cells , 2009, 2009 IEEE Congress on Evolutionary Computation.
[43] S. Basu,et al. A synthetic multicellular system for programmed pattern formation , 2005, Nature.
[44] Yu Feng Wang,et al. Microporous membrane formation via thermally-induced phase separation. IV. Effect of isotactic polypropylene crystallization kinetics on membrane structure , 1991 .
[45] David H. Sharp,et al. Dynamic control of positional information in the early Drosophila embryo , 2004, Nature.
[46] Julian Francis Miller,et al. An evolutionary system using development and artificial Genetic Regulatory Networks for electronic circuit design , 2009, Biosyst..
[47] Yan Meng,et al. Morphogenetic Robotics: An Emerging New Field in Developmental Robotics , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[48] Radhika Nagpal,et al. Automated global-to-local programming in 1-D spatial multi-agent systems , 2008, AAMAS.
[49] Tim Taylor. A Genetic Regulatory Network-Inspired Real-Time Controller for a Group of Underwater Robots , 2005 .
[50] A. M. Turing,et al. The chemical basis of morphogenesis , 1952, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences.
[51] Isaac Salazar-Ciudad,et al. Mechanisms of pattern formation in development and evolution , 2003, Development.
[52] T. Bouwmeester,et al. The Spemann-Mangold organizer: the control of fate specification and morphogenetic rearrangements during gastrulation in Xenopus. , 2001, The International journal of developmental biology.
[53] Rebecca Bloom,et al. Compilation and Biologically-Inspired Self-Assembly of Two-Dimensional Shapes , 2002 .
[54] Liqiang Feng,et al. Measurement and correction of systematic odometry errors in mobile robots , 1996, IEEE Trans. Robotics Autom..
[55] Eiji Nakano,et al. A Control Method of a Multiple Non-holonomic Robot System for Cooperative Object Transportation , 2000, DARS.
[56] Franco Zambonelli,et al. EXPERIMENTS OF MORPHOGENESIS IN SWARMS OF SIMPLE MOBILE ROBOTS , 2004, Appl. Artif. Intell..
[57] E. Davidson,et al. The evolution of hierarchical gene regulatory networks , 2009, Nature Reviews Genetics.
[58] Dongbing Gu,et al. A Game Theory Approach to Target Tracking in Sensor Networks , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[59] Volkan Isler,et al. Triangulation Based Multi Target Tracking with Mobile Sensor Networks , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[60] Gaurav S. Sukhatme,et al. Mobile Sensor Network Deployment using Potential Fields : A Distributed , Scalable Solution to the Area Coverage Problem , 2002 .
[61] Sarangapani Jagannathan,et al. Neural Network Output Feedback Control of Robot Formations , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[62] Yan Meng,et al. A morphogenetic approach to flexible and robust shape formation for swarm robotic systems , 2013, Robotics Auton. Syst..
[63] Martin Nilsson,et al. Cooperative multi-robot box-pushing , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.
[64] L. Wolpert. Developmental Biology , 1968, Nature.
[65] Yan Meng,et al. Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence , 2010, Int. J. Swarm Intell. Res..
[66] Wolfgang Banzhaf,et al. Artificial Development , 2008, Organic Computing.
[67] Gaurav S. Sukhatme,et al. Tracking Targets Using Multiple Robots: The Effect of Environment Occlusion , 2002, Auton. Robots.
[68] Yaochu Jin,et al. A fitness-independent evolvability measure for evolutionary developmental systems , 2010, 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.
[69] M. Ani Hsieh,et al. Decentralized controllers for shape generation with robotic swarms , 2008, Robotica.