Title :
A swarm intelligence based approach to the mine detection problem
Author :
M, Vignmh Kumar ; Sahin, Ferat
Author_Institution :
Dept. of Electr. Eng., Rochester Inst. of Technol., NY, USA
Abstract :
In this paper, we have applied a swarm intelligence based technique to a mine detection problem. Swarm intelligence techniques are used to model robotic agents to solve the problem. Studies made on the ant colonies, which is a typical member of the family of swarms, are applied in devising the techniques for the agents. Ant colony models bestow intelligence not only at the individual level, but more at the collective level (the interactions produced by the individual members in trying to solve a common problem). An analysis of the results obtained with a computer simulation of the mine detection is also presented.
Keywords :
landmine detection; military computing; mobile robots; multi-agent systems; object detection; weapons; ant colonies; artificial agents; artificial intelligence; military; mine detection problem; mobile individuals; robotic agents; swarm intelligence based approach; Animal behavior; Artificial intelligence; Birds; Computer simulation; Insects; Intelligent agent; Intelligent robots; Paper technology; Particle swarm optimization; Robot kinematics;
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
Print_ISBN :
0-7803-7437-1
DOI :
10.1109/ICSMC.2002.1176013