Many
research in robotics area to find path using different bio-inspired
algorithms are conducted recently. Despite many researches are
limited to the simulation result. This project tries to verify the
robustness of Particle Swarm Optimization (PSO) algorithm in the
real-world implementation. PSO optimizes a problem by having a
population of candidate solutions, and moving these particles around
in the search-space according to simple mathematical formula over the
particle's position and velocity. In this project we are implementing
PSO algorithm with some modification in robotics. We conducted many
experiments with different number of robots and different number of
destination too. The result verifies that PSO is technically sound
for real-world problems of path finding even in the presence of
obstacles.
