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Robots That Do Not Avoid Obstacles

  • Kyriakos Papadopoulos
  • Apostolos Syropoulos
Chapter
First Online:
Part of the Springer Optimization and Its Applications book series (SOIA, volume 134)

Abstract

The motion planning problem is a fundamental problem in robotics, so that every autonomous robot should be able to deal with it. A number of solutions have been proposed and a probabilistic one seems to be quite reasonable. However, here we propose a more adoptive solution that uses fuzzy set theory and we expose this solution next to a sort survey on the recent theory of soft robots, for a future qualitative comparison between the two.

Keywords

Motion Planning Problems Soft Robots Path-connected Topological Space Fuzzy Motion Specific Robot Configuration 
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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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Kyriakos Papadopoulos
    • 1
  • Apostolos Syropoulos
    • 2
  1. 1.Department of MathematicsKuwait UniversitySafatKuwait
  2. 2.Greek Molecular Computing GroupXanthiGreece

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