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Aerial Locomotion in Cluttered Environments

  • Dario FloreanoEmail author
  • Jean-Christophe Zufferey
  • Adam Klaptocz
  • Jürg Germann
  • Mirko Kovac
Chapter
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 100)

Abstract

Many environments where robots are expected to operate are cluttered with objects, walls, debris, and different horizontal and vertical structures. In this chapter, we present four design features that allow small robots to rapidly and safely move in 3 dimensions through cluttered environments: a perceptual system capable of detecting obstacles in the robot’s surroundings, including the ground, with minimal computation, mass, and energy requirements; a flexible and protective framework capable of withstanding collisions and even using collisions to learn about the properties of the surroundings when light is not available; a mechanism for temporarily perching to vertical structures in order to monitor the environment or communicate with other robots before taking off again; and a self-deployment mechanism for getting in the air and perform repetitive jumps or glided flight. We conclude the chapter by suggesting future avenues for integration of multiple features within the same robotic platform.

Keywords

Optic Flow Torsion Spring Cluttered Environment Forward Flight Security Factor 
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.

Notes

Acknowledgements

These works have been sponsored by several grants of the Swiss National Science Foundation, including the NCCR Robotics, by EPFL, and by the Science and Technology Division of Armasuisse.

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Dario Floreano
    • 1
    Email author
  • Jean-Christophe Zufferey
    • 1
  • Adam Klaptocz
    • 1
  • Jürg Germann
    • 1
  • Mirko Kovac
    • 2
  1. 1.Laboratory of Intelligent SystemsEPFL LausanneLausanneSwitzerland
  2. 2.Wyss InstituteHarvard UniversityCambridgeUSA

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