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27905.pdf (6.65 MB)
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Robot Swarm Based On Ant Foraging Hypothesis With Adaptive Levy Flights
Author Info
Deshpande, Aditya
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504780906566663
Abstract Details
Year and Degree
2017, MS, University of Cincinnati, Engineering and Applied Science: Mechanical Engineering.
Abstract
Design of robot swarms inspired by self-organization in social insect groups is currently an active research area with a diverse portfolio of potential applications. This thesis is focused on the development of control laws for swarm of robots inspired by ant foraging. Particularly, this work presents control laws for efficient area coverage by a robot swarm in a 2D spatial domain, inspired by the unique dynamical characteristics of ant foraging. The novel idea pursued in the effort is that dynamic, adaptive switching between Brownian motion and Levy flight in the stochastic component of the search increases the efficiency of the search and area coverage. The study is motivated by behaviors of certain biological studies who exhibit searching patterns modeled using Levy flight. Influence of different pheromone (the virtual chemotactic agent that drives the foraging) threshold values for switching between Levy flights and Brownian motion is studied using two performance metrics - area coverage and visit entropy. The results highlight the advantages of the switching strategy for the control framework, particularly in cases when the object of the search is scarce in quantity or getting depleted in real-time.
Committee
Manish Kumar, Ph.D. (Committee Chair)
Ali Minai, Ph.D. (Committee Member)
David Thompson, Ph.D. (Committee Member)
Pages
99 p.
Subject Headings
Mechanical Engineering
;
Mechanics
Keywords
Complex Systems
;
Multi-robot Systems
;
Swarm
;
Ant Foraging
;
Levy Flight
;
Robotics
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Citations
Deshpande, A. (2017).
Robot Swarm Based On Ant Foraging Hypothesis With Adaptive Levy Flights
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504780906566663
APA Style (7th edition)
Deshpande, Aditya.
Robot Swarm Based On Ant Foraging Hypothesis With Adaptive Levy Flights.
2017. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504780906566663.
MLA Style (8th edition)
Deshpande, Aditya. "Robot Swarm Based On Ant Foraging Hypothesis With Adaptive Levy Flights." Master's thesis, University of Cincinnati, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504780906566663
Chicago Manual of Style (17th edition)
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Document number:
ucin1504780906566663
Download Count:
634
Copyright Info
© 2017, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.