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The CyCab: Bayesian Navigation on Sensory–Motor Trajectories

  • Cédric Pradalier
  • Pierre Bessière
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 46)

Introduction

Autonomous navigation of a mobile robot is a widely studied problem in the robotics community. Most robots designed for this task are equipped with onboard sensor(s) to perceive the external world (sonars, laser telemeters, camera). Two main approaches to autonomous navigation have been proposed: reactive navigation, where the robot uses only its current perceptions to move and explore without colliding (e.g. Arkin (1998) or Bonasso et al. (1995)), and servoed navigation, in which the robot is given a preplanned reference trajectory and uses some closed-loop control law to follow it (e.g. Laumond et al. (1989) or Lamiraux et al. (1999)). In servoed problems, two classes of approaches can again be separated: state-space tracking (e.g. Hermosillo et al. (2003b,a)) and perception- space tracking (e.g. Malis et al. (2001) or Chaumette (1994)).

Keywords

Mobile Robot Tracking Error Obstacle Avoidance Reference Trajectory Sensor Model 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Cédric Pradalier
    • 1
  • Pierre Bessière
    • 2
  1. 1.CSIRO ICT Centre 
  2. 2.CNRS - Grenoble Université 

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