Real-World Search Method With Unmanned Vehicle Based Particle Swarm Optimization Algorithm

PSO search incorporating vehicle dynamics and spatial constraints.

Robotics & Autonomy

2016-09-21 – 2017-07-31 · Completed

KARI-linked project · NRF specialized agency

Results

Coupled PSO with vehicle dynamics and spatial constraints, sharing search observations across agents.

Simulation metric Result
Search space 1,000,000 m³
Swarm size 15 vehicles
Test problems 9
Search completion Within 50 updates
Failure rate 0.55%
Mean position error 11.4 cm