NDLI: An optimal sound detection for robots in an unknown environment

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An optimal sound detection for robots in an unknown environment

Content Provider	IEEE Xplore Digital Library
Author	Saha, I. Senthil, A.
Copyright Year	2013
Description	Author affiliation: Comput. Sci. & Eng. Dept., Mody Inst. of Technol. & Sci., Lakshmangarh, India (Saha, I.; Senthil, A.)
Abstract	Robot technology has been rapidly developed more & more robots such as humanoid robots work with humans. The objective of this project is to develop a system for an autonomous mobile robot for searching and tracking sound source based target using sound sensors. Finding objects or events by following a sound source direction is an intuitive response for human and animal when they cannot see the target. Lego nxt sound sensor can detect the frequency of sound but is unable to detect the direction from where the sound is originating. PSO algorithm has been implemented for the optimization of the exact sound source. PSO (particle swarm optimization) is a stochastic population based computational method that optimizes the problem in each iteration, trying to improve the particle solutions and to get better quality of the particles each time. Objective function has been applied to detect the frequency and then the source continuously updates its position on the basis of frequency being detected. So that maximum frequency sound can be detected in minimum possible time and in exact location. Simulation work has been carried out by implementing the PSO algorithm in MATLAB to see how exactly the sound sources are detecting the frequency and at what particular frequency the source is exactly detecting the sound. Results have been computed by changing the number of iterations to see the exact location where the sound source is finding the frequency. Thus the main objective of this paper is to compute that the source is detecting the optimized maximum frequency sound by updating its gbest values continuously in every iteration and finally reaching the best possible value.
Starting Page	1
Ending Page	5
File Size	2875629
Page Count	5
File Format	PDF
e-ISBN	9781479962549
DOI	10.1109/ICCCV.2013.6906740
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-20
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lego NXT sound sensors PSO algorithm Robot sensing systems Linear programming Birds Frequency measurement Mobile robots Mobile robot
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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