## A quantitative comparison of path planning methods in mobile robotics

- Jesús Alberto Getial Barragán, Edwin David Erazo Caicedo, A G Pantoja
- 2017 IEEE 3rd Colombian Conference on Automatic…
- 2017

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@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} }

- Published 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