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Robotics 2015, 4(4), 398-420; doi:10.3390/robotics4040398

Robotic Design Choice Overview Using Co-Simulation and Design Space Exploration

Department of Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus N, Denmark
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Academic Editor: Huosheng Hu
Received: 17 June 2015 / Revised: 19 August 2015 / Accepted: 8 September 2015 / Published: 29 September 2015
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Abstract

Rapid robotic system development has created a demand for multi-disciplinary methods and tools to explore and compare design alternatives. In this paper, we present a collaborative modeling technique that combines discrete-event models of controller software with continuous-time models of physical robot components. The proposed co-modeling method utilizes the Vienna development method (VDM) and MATLAB for discrete-event modeling and 20-sim for continuous-time modeling. The model-based development of a mobile robot mink feeding system is used to illustrate the collaborative modeling method. Simulations are used to evaluate the robot model output response in relation to operational demands. An example of a load-carrying challenge in relation to the feeding robot is presented, and a design space is defined with candidate solutions in both the mechanical and software domains. Simulation results are analyzed using design space exploration (DSE), which evaluates candidate solutions in relation to preselected optimization criteria. The result of the analysis provides developers with an overview of the impacts of each candidate solution in the chosen design space. Based on this overview of solution impacts, the developers can select viable candidates for deployment and testing with the actual robot. View Full-Text
Keywords: animal feeding; crescendo; collaborative modeling; sensor fusion animal feeding; crescendo; collaborative modeling; sensor fusion
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Christiansen, M.P.; Larsen, P.G.; Jørgensen, R.N. Robotic Design Choice Overview Using Co-Simulation and Design Space Exploration. Robotics 2015, 4, 398-420.

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