Urban Swarms: A new approach for autonomous waste management
Modern cities are growing ecosystems that face new challenges due to the increasing population demands. One of the many problems they face nowadays is waste management, which has become a pressing issue requiring new solutions. Swarm robotics systems have been attracting an increasing amount of atte...
| Main Authors: | , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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ArXiv
2019
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| Online Access: | http://hdl.handle.net/1721.1/120583 |
| _version_ | 1824458034790793216 |
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| author | Alfeo, Antonio Luca Castelló Ferrer, Eduardo Lizarribar Carrillo, Yago Grignard, Arnaud Alonso Pastor, Luis Sleeper, Dylan T. Cimino, Mario G.C.A. Lepri, Bruno Vaglini, Gigliola Larson, Kent Dorigo, Marco Pentland, Alex ('Sandy') |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Alfeo, Antonio Luca Castelló Ferrer, Eduardo Lizarribar Carrillo, Yago Grignard, Arnaud Alonso Pastor, Luis Sleeper, Dylan T. Cimino, Mario G.C.A. Lepri, Bruno Vaglini, Gigliola Larson, Kent Dorigo, Marco Pentland, Alex ('Sandy') |
| author_sort | Alfeo, Antonio Luca |
| collection | MIT |
| description | Modern cities are growing ecosystems that face new challenges due to the increasing population demands. One of the many problems they face nowadays is waste management, which has become a pressing issue requiring new solutions. Swarm robotics systems have been attracting an increasing amount of attention in the past years and they are expected to become one of the main driving factors for innovation in the field of robotics. The research presented in this paper explores the feasibility of a swarm robotics system in an urban environment. By using bio-inspired foraging methods such as multi-place foraging and stigmergy-based navigation, a swarm of robots is able to improve the efficiency and autonomy of the urban waste management system in a realistic scenario. To achieve this, a diverse set of simulation experiments was conducted using real-world GIS data and implementing different garbage collection scenarios driven by robot swarms. Results presented in this research show that the proposed system outperforms current approaches. Moreover, results not only show the efficiency of our solution, but also give insights about how to design and customize these systems. |
| first_indexed | 2024-09-23T10:41:28Z |
| format | Article |
| id | mit-1721.1/120583 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2025-02-19T04:19:29Z |
| publishDate | 2019 |
| publisher | ArXiv |
| record_format | dspace |
| spelling | mit-1721.1/1205832025-02-06T18:26:22Z Urban Swarms: A new approach for autonomous waste management Alfeo, Antonio Luca Castelló Ferrer, Eduardo Lizarribar Carrillo, Yago Grignard, Arnaud Alonso Pastor, Luis Sleeper, Dylan T. Cimino, Mario G.C.A. Lepri, Bruno Vaglini, Gigliola Larson, Kent Dorigo, Marco Pentland, Alex ('Sandy') Massachusetts Institute of Technology. Media Laboratory Robotics Smart Cities Swarm Intelligence Autonomous Cities Distributed Systems Modern cities are growing ecosystems that face new challenges due to the increasing population demands. One of the many problems they face nowadays is waste management, which has become a pressing issue requiring new solutions. Swarm robotics systems have been attracting an increasing amount of attention in the past years and they are expected to become one of the main driving factors for innovation in the field of robotics. The research presented in this paper explores the feasibility of a swarm robotics system in an urban environment. By using bio-inspired foraging methods such as multi-place foraging and stigmergy-based navigation, a swarm of robots is able to improve the efficiency and autonomy of the urban waste management system in a realistic scenario. To achieve this, a diverse set of simulation experiments was conducted using real-world GIS data and implementing different garbage collection scenarios driven by robot swarms. Results presented in this research show that the proposed system outperforms current approaches. Moreover, results not only show the efficiency of our solution, but also give insights about how to design and customize these systems. 2019-03-01T07:08:24Z 2019-03-01T07:08:24Z 2018-10-18 Article http://hdl.handle.net/1721.1/120583 arXiv:1810.07910 en_US Attribution-NonCommercial 3.0 United States http://creativecommons.org/licenses/by-nc/3.0/us/ application/pdf ArXiv |
| spellingShingle | Robotics Smart Cities Swarm Intelligence Autonomous Cities Distributed Systems Alfeo, Antonio Luca Castelló Ferrer, Eduardo Lizarribar Carrillo, Yago Grignard, Arnaud Alonso Pastor, Luis Sleeper, Dylan T. Cimino, Mario G.C.A. Lepri, Bruno Vaglini, Gigliola Larson, Kent Dorigo, Marco Pentland, Alex ('Sandy') Urban Swarms: A new approach for autonomous waste management |
| title | Urban Swarms: A new approach for autonomous waste management |
| title_full | Urban Swarms: A new approach for autonomous waste management |
| title_fullStr | Urban Swarms: A new approach for autonomous waste management |
| title_full_unstemmed | Urban Swarms: A new approach for autonomous waste management |
| title_short | Urban Swarms: A new approach for autonomous waste management |
| title_sort | urban swarms a new approach for autonomous waste management |
| topic | Robotics Smart Cities Swarm Intelligence Autonomous Cities Distributed Systems |
| url | http://hdl.handle.net/1721.1/120583 |
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