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Simulation and Assessment educational framework for mobile robot algorithms

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Języki publikacji
EN
Abstrakty
EN
A mobile robot simulator useful in research and education was implemented in Matlab, it models the differential kinematics as well as proximity sensors of the robot. It allows the performance assessment of navigation algorithms through various quality metrics that are useful for comparing and analyzing navigation algorithms of mobile robots. An example that simulates and compares two autonomous navigation algorithms is presented.
Twórcy
  • Colombian Politechnic Jaime Isaza Cadavid
  • Metropolitan Technological Institute
autor
  • University of Antioquia, Medellín-Colombia
  • Colombian Politechnic Jaime Isaza Cadavid
  • University of Antioquia, Medellín-Colombia
Bibliografia
  • [1] J. Evans, E. Messina, “Performance Metrics for Intelligent Systems”. In: Proceeding of the Performance Metrics for intelligent Systems Workshop, Gaithersburg, MD, 14–16 August 2000.
  • [2] S. Wong, L. Middleton, B. MacDonald, “Performance metrics for robot coverage task”. In: Proceedings Australasian Conference on Robotics and Automation ACRA, Auckland, New Zealand, 2002, 7–12.
  • [3] N. Muñoz, J. Valencia, N. Londoño, “Evaluation of Navigation of an Autonomous Mobile Robot”. In: Proceedings of the Performance Metrics for Intelligent Systems (PerMIS) Workshop, Washington, DC, EEUU, 2007.http://www.nist.gov/el/isd/ks/upload/PerMIS_2007_Full_Proceedings.pdf
  • [4] S. Dongqing, Aerial robot navigation in cluttered urban environments, PhD Thesis, The Florida State University, Florida, USA, 2006, 87.
  • [5] J. Álvarez, Planificación del movimiento de vehículos autónomos basada en sensores. PhD Thesis, University of Oviedo, Oviedo, Spain, 1998, p. 178,
  • [6] Y. Guo, J. Wang, “A new performance based motion planner for nonholonomic mobile robots”. In: Proceedings of the 3rd performance metrics for the Intelligent Systems Workshop (PerMIS’03) NIST, Gaithersburg, MD, September 2003.
  • [7] J.C. Latombe, Robot Motion Planning, Kluwer Academic Publishers, 4th Edition, Boston, 1996.
  • [8] N. Muñoz, C. Andrade, N. Londoño, Diseño y construcción de un robot móvil orientado a la enseñanza e investigación, Ingenieria & Desarrollo Ed. 9, 2006.
  • [9] J. Rosenblatt, DAMN: Distributed Algorithm for Mobile Navigation. PhD. Thesis, Carnegie Mellon University Robotics Institute, Pittsburg, PA, 1997.
  • [10] M. Selekwa, E. Collins, J. Combey, “Multivalued Versus Univalued Reactive Fuzzy Behavior Systems for Navigation Control of Autonomous Ground Vehicles”. In: Proceedings from the 17th annual Florida Conference on the Recent Advances in Robotics FCRAR2004, 20 May 2004.
  • [11] E. Aguirre, A. Gonzalez, “Fuzzy Behaviors for mobile robot navigation, design, coordination and fusion”, International Journal of Approximate Reasoning, vol. 25, 2000, 255–289.
  • [12] A. Zalzala, A. Morris, “Neural Networks for Robotic Control”, Ellis Horwood, 1996, p. 278
  • [13] G. Cielniak, A. Treptow, T. Duckett, “Quantitative Performance Evaluation of a People Tracking System on a Mobile Robot”. In: Proceedings of the European Conference on Mobile Robots (ECMR), Ancona, Italy, 2005.
  • [14] Nelson David Munoz Ceballos, Jaime Alejandro Valencia, Nelson Londono Ospina. “Quantitative Performance Metrics for Mobile Robots Navigation, Mobile Robots Navigation”, Alejandra Barrera (Ed.), 2010. ISBN: 978-953-307-076-6, InTech, Available from: http://www.intechopen.com/books/mobilerobots-navigation/quantitative-performancemetrics-for-mobile-robots-navigation
  • [15] C. Ordóñez, Design and implementation of a limit cycle negotiation strategy for robot navigation. MSc. Thesis, The Florida State University, 62 pp, Florida, EEUU, 2006.
  • [16] L. Qing, W. Lijun, C. Bo, Z. Zhou, “An improved artificial potential field method for solving local minimum problem”. In: 2nd International Conference on Intelligent Control and Information Processing (ICICIP), vol. 1 1, July 2011. ISBN: 978-1-4577-0813-8.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4a590294-15a5-4a00-b042-366c5179e0d3
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