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What is Target Point

Chapter 11
Handbook of Research on Design, Control, and Modeling of Swarm Robotics
A final position that the mobile robot is moving to.
Published in Chapter:
Swarm Intelligent Optimization Algorithms and Its Application in Mobile Robot Path Planning
Xiujuan Lei (Shaanxi Normal University, China), Fei Wang (Shaanxi Normal University, China), and Ying Tan (Peking University, China)
Copyright: © 2016 |Pages: 33
DOI: 10.4018/978-1-4666-9572-6.ch011
Abstract
Mobile robot path planning is generally a kind of optimal problems, which is to find a best path of a track between a starting point to a goal point in the constraint conditions. Mobile robot path planning can be divided into two categories according to different environment planning awareness information: one is the global path planning and the other is the local path planning. We employed ACO, PSO, FA, FOA, FWA and ABC swarm intelligent optimization algorithms to optimize the global and local path planning of mobile robot, and gave the detailed implement steps and the comparing results to show the feasibility of using swarm intelligence optimization algorithms to solve the robot path planning problems.
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