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
COS Phi: Artificial Pheromone System for Robotic Swarms Research
Date
2015-10-02
Author
Arvin, Farshad
Krajnik, Tomas
Turgut, Ali Emre
Yue, Shigang
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
162
views
0
downloads
Cite This
Pheromone-based communication is one of the most effective ways of communication widely observed in nature. It is particularly used by social insects such as bees, ants and termites; both for inter-agent and agent-swarm communications. Due to its effectiveness; artificial pheromones have been adopted in multi-robot and swarm robotic systems for more than a decade. Although, pheromone-based communication was implemented by different means like chemical (use of particular chemical compounds) or physical (RFID tags, light, sound) ways, none of them were able to replicate all the aspects of pheromones as seen in nature. In this paper, we propose a novel artificial pheromone system that is reliable, accurate and it uses off-the-shelf components only - LCD screen and low-cost USB camera. The system allows to simulate several pheromones and their interactions and to change parameters of the pheromones (diffusion, evaporation, etc.) on the fly allowing for controllable experiments. We tested the performance of the system using the Colias platform in single-robot and swarm scenarios. To allow the swarm robotics community to use the system for their research, we provide it as a freely available open-source package.
Subject Keywords
Pheromone communication
,
Artificial pheromones
,
Autonomous robot
,
Swarm robotics
,
Localization
URI
https://hdl.handle.net/11511/54900
Collections
Department of Mechanical Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Keystroke transcription from acoustic emanations using continuous wavelet transform
Özkan, Abdullah; Günel Kılıç, Banu; Acartürk, Cengiz; Department of Cybersecurity (2022-9)
One of the most common methods of communication is written communication. Written communication has been found in various forms over the years and has changed shape with technical and technological developments. Today, written communication has shifted to digital media and keyboards have become one of the most frequently used entry points. This makes keyboards a critical node in the flow of information. There are several ways in which information entered through the keyboard can leak. Acoustic propagation i...
An Eye Tracking Analysis of Conversational Violations in Dyadic and Collaborative Interaction
Cagiltay, Bengisu; Acartürk, Cengiz (2022-01-01)
Linguistic principles are crucial in maintaining reliable and transparent communication for dyadic interactions. However, violating these principles might result in unwieldy and problematic communications. We use gaze as a medium to explore how visual attention and task performance changes when conversational violations occur. We conducted an eye-tracking study (N = 17) measuring changes in visual patterns in response to social communication errors, specifically Grice's Maxims violations. Our study investig...
Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments
Dagan, Fethiye Irmak; Kalkan, Sinan; Leite, Iolanda (2019-01-01)
Referring to objects in a natural and unambiguous manner is crucial for effective human-robot interaction. Previous research on learning-based referring expressions has focused primarily on comprehension tasks, while generating referring expressions is still mostly limited to rule-based methods. In this work, we propose a two-stage approach that relies on deep learning for estimating spatial relations to describe an object naturally and unambiguously with a referring expression. We compare our method to the...
Monte Carlo Analysis of Molecule Absorption Probabilities in Diffusion-Based Nanoscale Communication Systems with Multiple Receivers
ARIFLER, DOGU; Arifler, Dizem (2017-04-01)
For biomedical applications of nanonetworks, employing molecular communication for information transport is advantageous over nano-electromagnetic communication: molecular communication is potentially biocompatible and inherently energy-efficient. Recently, several studies have modeled receivers in diffusion-based molecular communication systems as "perfectly monitoring" or "perfectly absorbing" spheres based on idealized descriptions of chemoreception. In this paper, we focus on perfectly absorbing receive...
Advanced MEMS For RF and Millimeter Wave Communications (AMICOM)
Akın, Tayfun(2004-1-31)
The approach of the information society has resulted in a tremendous increase in the volume of wireless communication often giving rise to bottle-necks in the communication systems. To alleviate this congestion there is pressure to widen the allocated frequency bands up to millimetre wavelengths and to have terminals that are able to support many standards. It is understood that conventional components and solutions have limitations that will make it difficult to fulfil these requirements. The last five ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
F. Arvin, T. Krajnik, A. E. Turgut, and S. Yue, “COS Phi: Artificial Pheromone System for Robotic Swarms Research,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54900.