Mobile Robot Path Planning in Static Environments using Particle Swarm Optimization

@inproceedings{Alam2015MobileRP,
  title={Mobile Robot Path Planning in Static Environments using Particle Swarm Optimization},
  author={Muhammad Shahab Alam and M. Usman Rafique and Muhammad Umer Khan},
  year={2015}
}
Motion planning is a key element of robotics since it empowers a robot to navigate autonomously. Particle Swarm Optimization is a simple, yet a very powerful optimization technique which has been effectively used in many complex multi-dimensional optimization problems. This paper proposes a path planning algorithm based on particle swarm optimization for computing a shortest collision-free path for a mobile robot in environments populated with static convex obstacles. The proposed algorithm… CONTINUE READING