An acoustic 3D positioning system for robots operating underground
File(s)Acoustic_3D_letters_accepted.pdf (820.8 KB)
Accepted version
Author(s)
Malik, Shahid
O'Sullivan, Catherine
Reddyhoff, Thomas
Dini, Daniele
Holmes, Andrew
Type
Journal Article
Abstract
Underground robots are potentially helpful in many application domains, including geotechnical engineering, agriculture, and archaeology. One of the critical challenges in developing underground robotics is the accurate estimation of the positions of the robots. Acoustic-based positioning systems have been explored for developing an underground 3D positioning system. However, the positioning range is limited due to attenuation in the medium. This letter proposes an underground positioning system that utilizes a novel and easy-to-implement electronic approach for measuring
the acoustic propagation times between multiple transmitters and a receiver. We demonstrate a prototype using four transmitters at the surface and a single buried acoustic sensor as a proof-of-concept. The times of arrival for signals emitted by the different sources are measured by correlating the transmitted and received signals. The distances between the multiple transmitters and a receiver are estimated, and a tri-linearization algorithm is used to estimate the position of the buried sensor in 3D with respect to reference coordinates. The system is tested in a soil tank. The experimental results show that the proposed system is able to estimate the 3D position of buried sensors with an error of less than ±2.5 cm within a measurement field of size 50 cm × 50 cm × 35 cm in X, Y, and Z (width × length × depth). The proposed electronic synchronization approach allows increasing the positioning range of the system by increasing the number of transmitters
at the surface. This paves the way for the development of a positioning system for robots operating underground.
the acoustic propagation times between multiple transmitters and a receiver. We demonstrate a prototype using four transmitters at the surface and a single buried acoustic sensor as a proof-of-concept. The times of arrival for signals emitted by the different sources are measured by correlating the transmitted and received signals. The distances between the multiple transmitters and a receiver are estimated, and a tri-linearization algorithm is used to estimate the position of the buried sensor in 3D with respect to reference coordinates. The system is tested in a soil tank. The experimental results show that the proposed system is able to estimate the 3D position of buried sensors with an error of less than ±2.5 cm within a measurement field of size 50 cm × 50 cm × 35 cm in X, Y, and Z (width × length × depth). The proposed electronic synchronization approach allows increasing the positioning range of the system by increasing the number of transmitters
at the surface. This paves the way for the development of a positioning system for robots operating underground.
Date Issued
2022-09-15
Date Acceptance
2022-09-05
Citation
IEEE Sensors Letters, 2022, 6 (10), pp.1-4
ISSN
2475-1472
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1
End Page
4
Journal / Book Title
IEEE Sensors Letters
Volume
6
Issue
10
Copyright Statement
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Natural Environment Research Council (NERC)
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://ieeexplore.ieee.org/document/9893367
Grant Number
NE/T010983/1
EP/N025954/1
Subjects
Science & Technology
Technology
Physical Sciences
Engineering, Electrical & Electronic
Instruments & Instrumentation
Physics, Applied
Engineering
Physics
Sensor applications
buried robotics
geotechnical engineering
instrumentation
sensors
underground sensing
Publication Status
Published
Date Publish Online
2022-09-15