Automation of Mobility and Navigation

Part of the Springer Handbooks book series (SHB)


This chapter deals with general concepts on the automation of mobility and autonomous navigation. The emphasis is on the control and navigation of autonomous vehicles. Thus, after an introduction with historical background and basic concepts, the chapter briefly reviews general concepts on vehicle motion control by using models of the vehicle, as well as other approaches based on the information provided by humans. Autonomous navigation is also studied, involving not only motion planning and trajectory generation but also interaction with the environment to provide reactivity and adaptation in the autonomous navigation. These interactions are represented by means of nested loops closed at different frequencies with different bandwidth requirements. The human interactions at different levels are also analyzed, taking into account transmission of control commands and feedback of sensory information. Finally, the chapter studies multiple mobile systems by analyzing coordinated navigation of multiple autonomous vehicles and cooperation paradigms for autonomous mission execution.


Global Position System Unmanned Aerial Vehicle Autonomous Underwater Vehicle Autonomous Vehicle Automate Guide Vehicle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.







autonomous guided vehicle


artificial intelligence


autonomous underwater vehicle


Defense Advanced Research Projects Agency


DARPA Grand Challenge


generalized predictive control


general packet radio service


global positioning system


global system for mobile communication




linear quadratic regulator


Markov decision process


micro-electromechanical system


personal digital assistant


proportional, integral, and derivative


partially observable Markov decision process


random-access memory


remotely operated underwater vehicle


remotely piloted vehicle


rapidly exploring random tree


simultaneous localization and mapping technique


Stanford Research Institute


unmanned aerial vehicle


wireless fidelity


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  1. 1.Departamento de Ingeniería de Sistemas y AutomáticaUniversidad de SevillaSevillaSpain
  2. 2.Departamento de Ingeniería de Sistemas y AutomáticaUniversidad de SevillaSevillaSpain

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