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Model-Based Design

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Part of the Springer Tracts in Advanced Robotics book series (STAR,volume 93)

Abstract

Once accurate and computationally efficient models are available, one can use their predictions for designing and optimizing the underlying system. In this work, we distinguish the notions of design and optimization, even though they are generally considered as parts of the same process in other engineering disciplines. On the one hand, design is concerned with the definition of the qualitative, structural specification of the underlying system, e.g., deciding between different control strategies or robots’ geometries. On the other hand, optimization consists in fine-tuning the quantitative, numerical parameters of the said specification.

Keywords

  • Central Planner
  • Robot Controller
  • Chain Size
  • Probabilistic Controller
  • Miniature Robot

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-02609-1_10
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Correspondence to Grégory Mermoud .

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© 2014 Springer International Publishing Switzerland

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Mermoud, G. (2014). Model-Based Design. In: Stochastic Reactive Distributed Robotic Systems. Springer Tracts in Advanced Robotics, vol 93. Springer, Cham. https://doi.org/10.1007/978-3-319-02609-1_10

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  • DOI: https://doi.org/10.1007/978-3-319-02609-1_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02608-4

  • Online ISBN: 978-3-319-02609-1

  • eBook Packages: EngineeringEngineering (R0)