Gait-Adaptive Navigation and Human Searching in field with Cyborg Insect

Fuente: arXiv
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Bibliographic Details
Main Authors: Tran-Ngoc, Phuoc Thanh, Nguyen, Huu Duoc, Le, Duc Long, Li, Rui, Chong, Bing Sheng, Sato, Hirotaka
Format: Preprint
Published: 2024
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_version_ 1866909218237317120
author Tran-Ngoc, Phuoc Thanh
Nguyen, Huu Duoc
Le, Duc Long
Li, Rui
Chong, Bing Sheng
Sato, Hirotaka
author_facet Tran-Ngoc, Phuoc Thanh
Nguyen, Huu Duoc
Le, Duc Long
Li, Rui
Chong, Bing Sheng
Sato, Hirotaka
contents This study focuses on improving the ability of cyborg insects to navigate autonomously during search and rescue missions in outdoor environments. We propose an algorithm that leverages data from an IMU to calculate orientation and position based on the insect's walking gait. These computed factors serve as essential feedback channels across 3 phases of our exploration. Our method functions without relying on external systems. The results of our trials, carried out in both indoor (4.8 x 6.6 m^2) and outdoor (3.5 x 6.0 m^2) settings, show that the cyborg insect is capable of seeking a human without knowing the human's position. This exploration strategy would help to bring terrestrial cyborg insects closer to practical application in real-life search and rescue (SAR) missions.
format Preprint
id arxiv_https___arxiv_org_abs_2406_03713
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Gait-Adaptive Navigation and Human Searching in field with Cyborg Insect
Tran-Ngoc, Phuoc Thanh
Nguyen, Huu Duoc
Le, Duc Long
Li, Rui
Chong, Bing Sheng
Sato, Hirotaka
Robotics
This study focuses on improving the ability of cyborg insects to navigate autonomously during search and rescue missions in outdoor environments. We propose an algorithm that leverages data from an IMU to calculate orientation and position based on the insect's walking gait. These computed factors serve as essential feedback channels across 3 phases of our exploration. Our method functions without relying on external systems. The results of our trials, carried out in both indoor (4.8 x 6.6 m^2) and outdoor (3.5 x 6.0 m^2) settings, show that the cyborg insect is capable of seeking a human without knowing the human's position. This exploration strategy would help to bring terrestrial cyborg insects closer to practical application in real-life search and rescue (SAR) missions.
title Gait-Adaptive Navigation and Human Searching in field with Cyborg Insect
topic Robotics
url https://arxiv.org/abs/2406.03713