Path Planning for Multiple Mobile Robots in Static Environment using Hybrid Algorithm
- Resource Type
- Conference
- Authors
- Garip, Zeynep B.; Atali, Gokhan; Karayel, Durmus; Ozkan, Sinan Serdar
- Source
- 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2018 2nd International Symposium on. :1-4 Oct, 2018
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Signal Processing and Analysis
Genetic algorithms
Path planning
Heuristic algorithms
Mobile robots
Biological cells
Mechatronics
genetic algorithm
A* algorithm
mobil robot path planning
- Language
In global path planning, finding the optimal path between the starting point and the destination is one of the fundamental problems. Thanks to the recent developments in robotics, meta-heuristic optimization algorithms can be used in path planning. In this study, a new hybrid algorithm based on Genetic Algorithm (GA) and A* algorithm has been developed to solve the navigation problems of multiple mobile robots in a static environment with intermediate target points. The aim of this hybrid approach is improving the productivity of the GA and the most important performance criteria determined in path planning such as time and cost. A graphical interface based on user friendly MATLAB-GUI (Graphical User Interface) has been developed to show the effectiveness of the developed method. It is hoped that the developed system will have an extensive usage area in autonomous transport systems. (Abstract)