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A Bio-Inspired Model for Visual Collision Avoidance on a Hexapod Walking Robot

  • Hanno Gerd Meyer
  • Olivier J. N. Bertrand
  • Jan Paskarbeit
  • Jens Peter Lindemann
  • Axel Schneider
  • Martin Egelhaaf
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9793)

Abstract

While navigating their environments it is essential for autonomous mobile robots to actively avoid collisions with obstacles. Flying insects perform this behavioural task with ease relying mainly on information the visual system provides. Here we implement a bio-inspired collision avoidance algorithm based on the extraction of nearness information from visual motion on the hexapod walking robot platform HECTOR. The algorithm allows HECTOR to navigate cluttered environments while actively avoiding obstacles.

Keywords

Biorobotics Bio-inspired vision Collision avoidance Optic flow Elementary motion detector 

Notes

Acknowledgments

This work has been supported by the DFG Center of Excellence Cognitive Interaction TEChnology (CITEC, EXC 277) within the EICCI-project. We thank Dr. Wolfgang Stürzl for kindly providing us with a dataset of a laser scanned outdoor environment.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Hanno Gerd Meyer
    • 1
  • Olivier J. N. Bertrand
    • 2
  • Jan Paskarbeit
    • 1
  • Jens Peter Lindemann
    • 2
  • Axel Schneider
    • 1
    • 3
  • Martin Egelhaaf
    • 2
  1. 1.Biomechatronics, Center of Excellence ‘Cognitive Interaction Technology’ (CITEC)University of BielefeldBielefeldGermany
  2. 2.Department of Neurobiology and Center of Excellence ‘Cognitive Interaction Technology’ (CITEC)University of BielefeldBielefeldGermany
  3. 3.Embedded Systems and Biomechatronics Group, Faculty of Engineering and MathematicsUniversity of Applied SciencesBielefeldGermany

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