Name
Abstract | ||
|---|---|---|
In this paper, an improved path planning scheme based on Particle Swarm Optimization and Ferguson Splines is proposed. Firstly, a string of Ferguson Splines are used to describe a path for a mobile robot, and the path planning problem is then equivalent to the optimization of parameters of particular cubic Ferguson splines. Secondly, an improved Particle Swarm Optimization Algorithm, which performs well in avoiding the premature convergence problem, is introduced to optimize the path. The experimental results illustrate the reasonability and great practical value of the proposed path planning scheme. A collision-avoiding smooth optimal path can be planned automatically within 60 iterations. © 2011 IEEE. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/HIS.2011.6122097 | HIS |
Keywords | Field | DocType |
ferguson splines,particle swarm optimization (pso),path planning,velocity mutation,particle swarm optimization,trajectory,trajectory optimization,premature convergence,mobile robots,convergence,spline,mobile robot,optimization | Particle swarm optimization,Motion planning,Spline (mathematics),Mathematical optimization,Any-angle path planning,Premature convergence,Shortest path problem,Multi-swarm optimization,Trajectory,Mathematics | Conference |
Volume | Issue | Citations |
null | null | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wu Xianxiang | 1 | 0 | 0.34 |
| Ming Yan | 2 | 3 | 1.42 |
| Wang Juan | 3 | 0 | 1.69 |