A dual agent algorithm for foraging
- Resource Type
- Conference
- Authors
- Geuther, Brian; Johnsrud, Eric; Wang, Yunfeng
- Source
- 2012 IEEE International Conference on Mechatronics and Automation Mechatronics and Automation (ICMA), 2012 International Conference on. :279-284 Aug, 2012
- Subject
- Robotics and Control Systems
Power, Energy and Industry Applications
Fields, Waves and Electromagnetics
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Robot sensing systems
Robot kinematics
Particle swarm optimization
Multirobot systems
Algorithm design and analysis
Mathematical model
Multirobot system
swarm robot
foraging
- Language
- ISSN
- 2152-7431
2152-744X
Swarm intelligence enables the distribution and implementation of complex tasks among multirobot systems to be achieved in a more efficient manner. This paper proposed a dual-agent multirobot system for a foraging task based on swarm intelligence. The dual agent system consists of two type of robots. They served as scouts and harvesters respectively. The scouts are designed to be sensor orientated. The harvester relies upon the scouted information with its limited sensing abilities. All robots will communicate information to a centralized hub, which provides information back to the robots. This paper also compares the optimal ratio of scouts to harvesters well as analyzing the benefit of alternative solutions to the objective.