An autonomous robot inspired by insect neurophysiology pursues moving features in natural environments.

Journal: Journal of neural engineering
PMID: 28704206

Abstract

OBJECTIVE: Many computer vision and robotic applications require the implementation of robust and efficient target-tracking algorithms on a moving platform. However, deployment of a real-time system is challenging, even with the computational power of modern hardware. Lightweight and low-powered flying insects, such as dragonflies, track prey or conspecifics within cluttered natural environments, illustrating an efficient biological solution to the target-tracking problem.

Authors

  • Zahra M Bagheri
    Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia. School of Mechanical Engineering, The University of Adelaide, Adelaide, SA, 5005, Australia.
  • Benjamin S Cazzolato
  • Steven Grainger
  • David C O'Carroll
  • Steven D Wiederman

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