Biologically inspired navigation on a mobile robot

2010 ◽  
Author(s):  
Christian Papauschek ◽  
Michael Zillich
Keyword(s):  
Mobile Robot ◽  
Biologically Inspired

scholarly journals Waypoint Mobile Robot Exploration Based on Biologically Inspired Algorithms

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 190342-190355
Author(s):  
Albina Kamalova ◽  
Ki Dong Kim ◽  
Suk Gyu Lee
Keyword(s):  
Mobile Robot ◽  
Biologically Inspired ◽  
Biologically Inspired Algorithms

scholarly journals Evolutionary Optimisation for Obstacle Detection and Avoidance in Mobile Robotics

2005 ◽  
Vol 9 (6) ◽  
pp. 622-629 ◽  
Author(s):  
Olivier Pauplin ◽  
◽  
Jean Louchet ◽  
Evelyne Lutton ◽  
Arnaud de La Fortelle
Keyword(s):  
Image Analysis ◽  
Mobile Robot ◽  
Mobile Robotics ◽  
Obstacle Detection ◽  
Stereo Image ◽  
Artificial Evolution ◽  
Biologically Inspired ◽  
Fitness Functions ◽  
Real Scene ◽  
Evolutionary Optimisation

This paper presents an artificial evolution-based 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 according to a biologically inspired scheme. Results obtained on real scene with different fitness functions are presented and discussed, and an exploitation for obstacle avoidance in mobile robotics is proposed.

Sign in / Sign up

Export Citation Format

Share Document