Odor Source Localization System Inspired by Odor Information Processing of an Insect

This publication has 13 references indexed in Scilit:

• Decoding olfactory mechanisms: molecular functions and robotic applications for odor source localization
  Advanced Robotics, 2025
• Olfactory navigation in arthropods
  Journal of Comparative Physiology A, 2023
• Learning a Generic Olfactory Search Strategy From Silk Moths by Deep Inverse Reinforcement Learning
  IEEE Transactions on Medical Robotics and Bionics, 2021
• A novel framework based on a data-driven approach for modelling the behaviour of organisms in chemical plume tracing
  Journal of The Royal Society Interface, 2021
• Real-Time Odor Discrimination Using Single Antenna of Insect
  IEEE Sensors Letters, 2020
• Odor source localization algorithms on mobile robots: A review and future outlook
  Robotics and Autonomous Systems, 2019
• Time-Varying Moth-Inspired Algorithm for Chemical Plume Tracing in Turbulent Environment
  IEEE Robotics and Automation Letters, 2017
• One antenna, two antennae, big antennae, small: total antennae length, not bilateral symmetry, predicts odor tracking performance in the American cockroach, Periplaneta americana L
  Journal of Experimental Biology, 2015
• Odorant Concentration Differentiator for Intermittent Olfactory Signals
  Journal of Neuroscience, 2014
• ‘Infotaxis’ as a strategy for searching without gradients
  Nature, 2007