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Conclusion

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

Abstract

This dissertation proposed a unified methodological framework for the model-based, optimal design of SMPs. The notion of SMPs encompass all systems whose dynamics result from the multiple, stochastic interactions of a set of constitutive components endowed with a reactive behavior and minimal sensing, computing, and actuation capabilities, such as sub-centimeter-sized robots, insects, cells, MEMS devices, or molecules. As a result, the spectrum of potential applications of this work ranges from biomedical engineering (where large groups of ultra-small robots are envisioned as both diagnostic and therapeutic tools) to environmental engineering (e.g., spill detection, pollution monitoring, water purfication). The experimental portion of this work is not intended as a proof-of-concept of these anticipated applications; rather, it supports our theoretical and methodological findings, which constitute the main body of our research. In particular, the claims of this dissertation can be articulated as follows.

Keywords

  • Biomedical Engineering
  • Reactive Behavior
  • Constitutive Component
  • Ambitious Objective
  • Solid Brick

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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Correspondence to Grégory Mermoud .

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Mermoud, G. (2014). Conclusion. 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_13

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  • DOI: https://doi.org/10.1007/978-3-319-02609-1_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02608-4

  • Online ISBN: 978-3-319-02609-1

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