A multi-agent collaborative control architecture with fuzzy adjustment for a mobile robot
Conference: ICINCO 2006, Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics, Robotics and Automation, Setúbal, Portugal, August 1-5, 2006
One of the current challenges of control research is to make systems capable of showing intelligent responses to changing circumstances. To address this task, more complex systems are being developed. However, it is technologically difficult and potentially dangerous to build complex systems that are controlled in a completely centralized way. One approach to building decentralization systems is using multi-agent technology for building control architectures. But it seems risky to recursively extend using multi-agent systems to develop part of the system, such as a single behaviour.One alternative approach is to use collaborative control to deploy specific (low level) behaviours, so that several controllers are combined in a single agent of the multi-agent architecture in order to achieve the wanted behaviour. This paper presents a collaborative controller applied to the goto behaviour. The experiments were carried out using a Pioneer mobile robot.
Available from: Carlos Carrascosa
- "This agent is getting the control regarding to the conflicting activity. For example, suppose that the goto agent has a utility value of 0.5, the gothrough agent of 0.3 and the avoid agent of 0.7; being 0.7 the higher value, the avoid agent takes the control of the situation, and it is the only one that sends messages to the robot agent (see  ). "
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