2 research outputs found
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
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