Kyriacou, T., Nehmzow, U., Igelsiais, R. et al. (1 more author) (2005) Cross-Platform Programming Through System Identification. Research Report. ACSE Research Report 895 . Department of Automatic Control and Systems Engineering
Abstract
In this paper we present the Robot MODIC procedure (robot modelling, identification and characterisation) as a process which lets us identify the robot's motion through a nonlinear polynomial function (NARMAX). This procedure represents an important step towards a science of mobile robots, because the Narmax function can be analysed to understand the underlying phenomena governing the robot's behaviour and it also can be used to subsequently control the movement of the robot. As we'll see through this paper, the Robot-MODIC procedure has another important benefit, it allows very easy and fast cross-platform transfer of robot code. The mathematical description of robot's behaviour (in the form of a polynomial function), can be easily exchanged between different robot platforms, thus essentially "programming" mobile robots, not through the explicit definition of a control mechanism, but through a model derived from the observation of robot's motion. In this way, the RobotMODIC procedure produces an extremely compact code which contributes towards saving in memory space and reduces processing time on the host robot during execution.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 24 Apr 2015 11:25 |
Last Modified: | 29 Mar 2018 04:27 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 895 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:85337 |