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Robust Intelligent Control of Mobile Robots

Robust Intelligent Control of Mobile Robots
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Author(s): Gordon Fraser (Graz University of Technology, Austria), Gerald Steinbauer (Graz University of Technology, Austria), Jörg Weber (Graz University of Technology, Austria) and Franz Wotawa (Graz University of Technology, Austria)
Copyright: 2009
Pages: 21
Source title: Mobile Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): David Taniar (Monash University, Australia)
DOI: 10.4018/978-1-60566-054-7.ch052


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An appropriate control architecture is a crucial premise for successfully achieving truly autonomous mobile robots. The architecture should allow for a robust control of the robot in complex tasks, while it should be flexible in order to operate in different environments pursuing different tasks. This chapter presents a control framework that is able to control an autonomous robot in complex realworld tasks. The key features of the framework are a hybrid control paradigm that incorporates reactive, planning and reasoning capabilities, a flexible software architecture that enables easy adaptation to new tasks and a robust task execution that makes reaction to unforeseen changes in the task and environment possible. Finally, the framework allows for detection of internal failures in the robot and includes self-healing properties. The framework was successfully deployed in the domain of robotic soccer and service robots. The chapter presents the requirements for such a framework, how the framework tackles the problems arising from the application domains, and results obtained during the deployment of the framework.

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