Applying Evolutionary Optimisation to Robot Obstacle Avoidance

Computer Science – Artificial Intelligence

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Applying Evolutionary Optimisation to Robot Obstacle Avoidance does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Applying Evolutionary Optimisation to Robot Obstacle Avoidance, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Applying Evolutionary Optimisation to Robot Obstacle Avoidance will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-429877

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.