Publications of year 2007
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Publications of year 2007
Conference articles
  1. A Gasparri, S. Panzieri, and F. Pascucci. A Spatially Structured Genetic Algorithm for Multi/Robot Localization. In Advanced Robotics , 2007 IEEE International Conference on, Jeju, Korea, August 2007. Keyword(s): genetic algorithms, multi-robot systems, simulation, statistical analysis, collaborative multi robot localization, fitness-sharing, genetic algorithm, performance assessment, simulations, statistical analysis, Collaborative work, Genetic algorithms, Intelligent robots, International collaboration, Multirobot systems, Navigation, Orbital robotics, Robot localization, Robot sensing systems;.
    @INPROCEEDINGS{Gasparri:ICAR:1:2007,
    author={Gasparri, A and Panzieri, S. and Pascucci, F.},
    booktitle={Advanced Robotics , 2007 IEEE International Conference on},
    title={A Spatially Structured Genetic Algorithm for Multi/Robot Localization},
    year={2007},
    address={Jeju, Korea},
    month={August},
    language={english},
    keywords={genetic algorithms;multi-robot systems;simulation;statistical analysis;collaborative multi robot localization;fitness-sharing;genetic algorithm;performance assessment;simulations;statistical analysis;Collaborative work;Genetic algorithms;Intelligent robots;International collaboration;Multirobot systems;Navigation;Orbital robotics;Robot localization;Robot sensing systems;},
    
    }
    


  2. A Gasparri, S. Panzieri, F. Pascucci, and G. Ulivi. A Hybrid Active Global Localisation Algorithm for Mobile Robots. In Robotics and Automation, 2007 IEEE International Conference on, pages 3148-3153, April 2007. ISSN: 1050-4729. [doi:10.1109/ROBOT.2007.363958] Keyword(s): Kalman filters, collision avoidance, mobile robots, motion control, probability, collision avoidance, hybrid active global localisation algorithm, mobile robots, parallel extended Kalman filters, particle filter, pose tracking, Estimation theory, Global Positioning System, Mobile robots, Motion estimation, Navigation, Orbital robotics, Particle filters, Robot sensing systems, Stochastic processes, Tracking.
    @INPROCEEDINGS{Gasparri:ICRA:1:2007,
    author={Gasparri, A and Panzieri, S. and Pascucci, F. and Ulivi, G.},
    booktitle={Robotics and Automation, 2007 IEEE International Conference on},
    title={A Hybrid Active Global Localisation Algorithm for Mobile Robots},
    year={2007},
    month={April},
    pages={3148-3153},
    keywords={Kalman filters;collision avoidance;mobile robots;motion control;probability;collision avoidance;hybrid active global localisation algorithm;mobile robots;parallel extended Kalman filters;particle filter;pose tracking;Estimation theory;Global Positioning System;Mobile robots;Motion estimation;Navigation;Orbital robotics;Particle filters;Robot sensing systems;Stochastic processes;Tracking},
    doi={10.1109/ROBOT.2007.363958},
    ISSN={1050-4729},
    
    }
    


  3. A Gasparri, S. Panzieri, F. Pascucci, and G. Ulivi. A Spatially Structured Genetic Algorithm over Complex Networks for Mobile Robot Localisation. In Robotics and Automation, 2007 IEEE International Conference on, pages 4277-4282, April 2007. ISSN: 1050-4729. [doi:10.1109/ROBOT.2007.364137] Keyword(s): Kalman filters, Monte Carlo methods, SLAM (robots), complex networks, genetic algorithms, mobile robots, search problems, Kalman filter, Monte Carlo integration, complex networks, mobile robot localisation, robot autonomy, search space modelling, spatial deployment, spatially structured genetic algorithm, Complex networks, Filters, Genetic algorithms, Mobile robots, Monte Carlo methods, Orbital robotics, Probability distribution, Robot sensing systems, Robotics and automation, Space exploration.
    @INPROCEEDINGS{Gasparri:ICRA:2:2007,
    author={Gasparri, A and Panzieri, S. and Pascucci, F. and Ulivi, G.},
    booktitle={Robotics and Automation, 2007 IEEE International Conference on},
    title={A Spatially Structured Genetic Algorithm over Complex Networks for Mobile Robot Localisation},
    year={2007},
    month={April},
    pages={4277-4282},
    keywords={Kalman filters;Monte Carlo methods;SLAM (robots);complex networks;genetic algorithms;mobile robots;search problems;Kalman filter;Monte Carlo integration;complex networks;mobile robot localisation;robot autonomy;search space modelling;spatial deployment;spatially structured genetic algorithm;Complex networks;Filters;Genetic algorithms;Mobile robots;Monte Carlo methods;Orbital robotics;Probability distribution;Robot sensing systems;Robotics and automation;Space exploration},
    doi={10.1109/ROBOT.2007.364137},
    ISSN={1050-4729},
    
    }
    


  4. A Gasparri, S. Panzieri, F. Pascucci, and G. Ulivi. An integrated framework for simultaneous robot and sensor network localization. In Proc. of 6th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2007), volume 6, Toulouse, France, pages 131-136, September 2007. [doi:10.3182/20070903-3-FR-2921.00025] Keyword(s): robot localisation, particle filters, genetic algorithms.
    @InProceedings{Gasparri:IAV:1:2007,
    author={Gasparri, A and Panzieri, S. and Pascucci, F. and Ulivi, G.},
    title={An integrated framework for simultaneous robot and sensor network localization},
    booktitle={Proc. of 6th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2007) },
    year={2007},
    volume={6},
    number={1},
    pages={131-136},
    address={Toulouse, France},
    month={September},
    doi={10.3182/20070903-3-FR-2921.00025},
    language={english},
    keywords={robot localisation,particle filters,genetic algorithms} 
    }
    



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Last modified: Wed Mar 29 18:43:38 2017
Author: Andrea Gasparri.


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