Ant Robotic Swarm for Visualizing Invisible Hazardous Substances
Inspired by the simplicity of how nature solves its problems, this paper presents a novel approach that would enable a swarm of ant robotic agents (robots with limited sensing, communication, computational and memory resources) form a visual representation of distributed hazardous substances within...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2013-01-01
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| Series: | Robotics |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2218-6581/2/1/1 |
| _version_ | 1797999418499137536 |
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| author | John Oyekan Huosheng Hu |
| author_facet | John Oyekan Huosheng Hu |
| author_sort | John Oyekan |
| collection | DOAJ |
| description | Inspired by the simplicity of how nature solves its problems, this paper presents a novel approach that would enable a swarm of ant robotic agents (robots with limited sensing, communication, computational and memory resources) form a visual representation of distributed hazardous substances within an environment dominated by diffusion processes using a decentralized approach. Such a visual representation could be very useful in enabling a quicker evacuation of a city’s population affected by such hazardous substances. This is especially true if the ratio of emergency workers to the population number is very small. |
| first_indexed | 2024-04-11T11:03:05Z |
| format | Article |
| id | doaj.art-88e90a059d40417a8d460676dadb1f6b |
| institution | Directory Open Access Journal |
| issn | 2218-6581 |
| language | English |
| last_indexed | 2024-04-11T11:03:05Z |
| publishDate | 2013-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Robotics |
| spelling | doaj.art-88e90a059d40417a8d460676dadb1f6b2022-12-22T04:28:27ZengMDPI AGRobotics2218-65812013-01-012111810.3390/robotics2010001Ant Robotic Swarm for Visualizing Invisible Hazardous SubstancesJohn OyekanHuosheng HuInspired by the simplicity of how nature solves its problems, this paper presents a novel approach that would enable a swarm of ant robotic agents (robots with limited sensing, communication, computational and memory resources) form a visual representation of distributed hazardous substances within an environment dominated by diffusion processes using a decentralized approach. Such a visual representation could be very useful in enabling a quicker evacuation of a city’s population affected by such hazardous substances. This is especially true if the ratio of emergency workers to the population number is very small.http://www.mdpi.com/2218-6581/2/1/1bio-inspirationant agentsoptimal coveragepollution monitoringbacterial foraging |
| spellingShingle | John Oyekan Huosheng Hu Ant Robotic Swarm for Visualizing Invisible Hazardous Substances Robotics bio-inspiration ant agents optimal coverage pollution monitoring bacterial foraging |
| title | Ant Robotic Swarm for Visualizing Invisible Hazardous Substances |
| title_full | Ant Robotic Swarm for Visualizing Invisible Hazardous Substances |
| title_fullStr | Ant Robotic Swarm for Visualizing Invisible Hazardous Substances |
| title_full_unstemmed | Ant Robotic Swarm for Visualizing Invisible Hazardous Substances |
| title_short | Ant Robotic Swarm for Visualizing Invisible Hazardous Substances |
| title_sort | ant robotic swarm for visualizing invisible hazardous substances |
| topic | bio-inspiration ant agents optimal coverage pollution monitoring bacterial foraging |
| url | http://www.mdpi.com/2218-6581/2/1/1 |
| work_keys_str_mv | AT johnoyekan antroboticswarmforvisualizinginvisiblehazardoussubstances AT huoshenghu antroboticswarmforvisualizinginvisiblehazardoussubstances |