scholarly journals Robot Path Planning based on Swarm Intelligence

2014 ◽  
Vol 7 (7) ◽  
pp. 15-32 ◽  
Author(s):  
Xuesong Yan ◽  
Qinghua Wu ◽  
Chengyu Hu ◽  
Hong Yao ◽  
Yuanyuan Fan ◽  
...  
Keyword(s):  
Path Planning ◽  
Swarm Intelligence ◽  
Robot Path Planning ◽  
Robot Path

Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning

2014 ◽  
Vol 7 (1) ◽  
pp. 24-37 ◽  
Author(s):  
Haibin Duan ◽  
Peixin Qiao
Keyword(s):  
Path Planning ◽  
Swarm Intelligence ◽  
Implementation Process ◽  
Robot Path Planning ◽  
Operator Model ◽  
Content Type ◽  
De Algorithm ◽  
The Mathematical Model ◽  
Planning Problems ◽  
Robot Path

Purpose – The purpose of this paper is to present a novel swarm intelligence optimizer — pigeon-inspired optimization (PIO) — and describe how this algorithm was applied to solve air robot path planning problems. Design/methodology/approach – The formulation of threat resources and objective function in air robot path planning is given. The mathematical model and detailed implementation process of PIO is presented. Comparative experiments with standard differential evolution (DE) algorithm are also conducted. Findings – The feasibility, effectiveness and robustness of the proposed PIO algorithm are shown by a series of comparative experiments with standard DE algorithm. The computational results also show that the proposed PIO algorithm can effectively improve the convergence speed, and the superiority of global search is also verified in various cases. Originality/value – In this paper, the authors first presented a PIO algorithm. In this newly presented algorithm, map and compass operator model is presented based on magnetic field and sun, while landmark operator model is designed based on landmarks. The authors also applied this newly proposed PIO algorithm for solving air robot path planning problems.

scholarly journals Robot Path Planning using Swarm Intelligence: A Survey

2013 ◽  
Vol 83 (12) ◽  
pp. 5-12 ◽  
Author(s):  
Narendra SinghPal ◽  
Sanjeev Sharma
Keyword(s):  
Path Planning ◽  
Swarm Intelligence ◽  
Robot Path Planning ◽  
Robot Path

Swarm Intelligence: Ant-Based Robot Path Planning

2009 ◽  
Author(s):  
Jing Zhou ◽  
Guan-Zhong Dai ◽  
De-Quan He ◽  
Jun Ma ◽  
Xiao-Yan Cai
Keyword(s):  
Path Planning ◽  
Swarm Intelligence ◽  
Robot Path Planning ◽  
Robot Path

Numerical Potential Field Techniques for Robot Path Planning.

1989 ◽  
Author(s):  
Jerome Barraquand ◽  
Bruno Langlois ◽  
Jean-Claude Latombe
Keyword(s):  
Path Planning ◽  
Potential Field ◽  
Robot Path Planning ◽  
Field Techniques ◽  
Robot Path

Topology optimization techniques for mobile robot path planning

2019 ◽  
Vol 78 ◽  
pp. 528-544 ◽  
Author(s):  
Baotong Li ◽  
Honglei Liu ◽  
Wenjun Su
Keyword(s):  
Topology Optimization ◽  
Path Planning ◽  
Mobile Robot ◽  
Optimization Techniques ◽  
Robot Path Planning ◽  
Robot Path
Sign in / Sign up

Export Citation Format

Share Document