Applying Evolutionary Optimisation to Robot Obstacle Avoidance
<|reference_start|>Applying Evolutionary Optimisation to Robot Obstacle Avoidance: This paper presents an artificial evolutionbased method for stereo image analysis and its application to real-time obstacle detection and avoidance for a mobile robot. It uses the Parisian approach, which consists here in splitting the representation of the robot's environment into a large number of simple primitives, the "flies", which are evolved following a biologically inspired scheme and give a fast, low-cost solution to the obstacle detection problem in mobile robotics.<|reference_end|>
@article{pauplin2005applying,
    title={Applying Evolutionary Optimisation to Robot Obstacle Avoidance},
    author={Olivier Pauplin (INRIA Rocquencourt), Jean Louchet (INRIA
  Rocquencourt), Evelyne Lutton (INRIA Rocquencourt), Michel Parent (INRIA
  Rocquencourt)},
    journal={Dans ISCIIA 2004},
    year={2005},
    archivePrefix={arXiv},
    eprint={cs/0510076},
    primaryClass={cs.AI cs.RO}
}