Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Collective Gradient Perception in a Flocking Robot Swarm
Date
2020-01-01
Author
Karagüzel, Tugay Alperen
Turgut, Ali Emre
Ferrante, Eliseo
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
145
views
0
downloads
Cite This
Animals can carry their environmental sensing abilities beyond their own limits by using the advantage of being in a group. Some animal groups use this collective ability to migrate or to react to an environmental cue. The environmental cue sometimes consists of a gradient in space, for example represented by food concentration or predators’ odors. In this study, we propose a method for collective gradient perception in a swarm of flocking agents where single individuals are not capable of perceiving the gradient but only sample information locally. The proposed method is tested with multi-agent simulations and compared to standard collective motion methods. It is also evaluated using realistic dynamical models of autonomous aerial robots within the Gazebo simulator. The results suggest that the swarm can move collectively towards specific regions of the environment by following a gradient while solitary agents are incapable of doing it.
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096475921&origin=inward
https://hdl.handle.net/11511/94096
DOI
https://doi.org/10.1007/978-3-030-60376-2_23
Conference Name
12th International Conference on Swarm Intelligence, ANTS 2020
Collections
Department of Mechanical Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Preschool children's use of perceptual-motor knowledge and hierarchical representational skills for tool making
Gönül, Gökhan; Takmaz, Ece; Hohenberger, Annette Edeltraud (2021-10-01)
Although other animals can make simple tools, the expanded and complex material culture of humans is unprecedented in the animal kingdom. Tool making is a slow and late-developing ability in humans, and preschool children find making tools to solve problems very challenging. This difficulty in tool making might be related to the lack of familiarity with the tools and may be overcome by children's long term perceptual-motor knowledge. Thus, in this study, the effect of tool familiarity on tool making was inv...
Mutual Information of Features Extracted from Human Micro-Doppler
Tekeli, Burkan; Gurbuz, Sevgi Zubeyde; Yüksel Turgut, Ayşe Melda (2013-01-01)
The unique, bi-pedal motion of humans has been shown to generate a characteristic micro-Doppler signature in the time-frequency domain that can be used to discriminate humans from not just other targets, but also between different activities, such as walking and running. In the literature, many different features have been proposed for classification applications. However, it is not known which features have a greater impact on classification performance, or indeed how many features should be used to achiev...
How lamprey muscle responds to perturbations during rhythmic motions: Phase-dependent system identification via harmonic transfer functions
Nicole, Danos; Wagenbach, Christopher; Ankaralı, Mustafa Mert; Cowan, Noah; Tytell, Eric (2016-01-07)
Animals can move robustly through unpredictable and complex environments. This work seeks to determine how the muscular system of the lamprey,Ichthyomyzon unicuspis, responds to deviations from a steady rhythm. In particular, we aim to understand how the muscle itself, separately from the nervous system, can react to and compensate for perturbations during periodic motion. We dissected a small section of axial musculature, approximately 5-10 mm in length, and performed standard work loop methods. We imposed...
Variability in locomotor dynamics reveals the critical role of feedback in task control.
Uyanik, I; Sefati, S; Stamper, Sa; Cho, Ka; Ankaralı, Mustafa Mert; Fortune, Es; Cowan, Nj (eLife Sciences Publications, Ltd, 2020-01-23)
Animals vary considerably in size, shape, and physiological features across individuals, but yet achieve remarkably similar behavioral performances. We examined how animals compensate for morphophysiological variation by measuring the system dynamics of individual knifefish (Eigenmannia virescens) in a refuge tracking task. Kinematic measurements of Eigenmannia were used to generate individualized estimates of each fish's locomotor plant and controller, revealing substantial variability between fish. To tes...
Investigation of Cue-Based Aggregation Behaviour in Complex Environments
Wang, Shiyi; Turgut, Ali Emre; Schmickl, Thomas; Lennox, Barry; Arvin, Farshad (2021-01-01)
Swarm robotics is mainly inspired by the collective behaviour of social animals in nature. Among different behaviours such as foraging and flocking performed by social animals; aggregation behaviour is often considered as the most basic and fundamental one. Aggregation behaviour has been studied in different domains for over a decade. In most of these studies, the settings are over-simplified that are quite far from reality. In this paper, we investigate cue-based aggregation behaviour using BEECLUST in a c...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. A. Karagüzel, A. E. Turgut, and E. Ferrante, “Collective Gradient Perception in a Flocking Robot Swarm,” Barcelona, İspanya, 2020, vol. 12421 LNCS, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096475921&origin=inward.