Self-organization in large populations of mobile robots
dc.contributor.author | Unsal, Cem | en |
dc.contributor.department | Electrical Engineering | en |
dc.date.accessioned | 2014-03-14T21:35:46Z | en |
dc.date.adate | 2009-05-09 | en |
dc.date.available | 2014-03-14T21:35:46Z | en |
dc.date.issued | 1993 | en |
dc.date.rdate | 2009-05-09 | en |
dc.date.sdate | 2009-05-09 | en |
dc.description.abstract | A homogeneous population of robots described as an Army-ant swarm is to be realized for material transportation. Robots envisioned in the Army-ant scenario are relatively small, independent autonomous mobile robots that can cooperatively carry palletized loads. In this thesis, the agents are treated as a self-organizing system of moving points. This characteristic makes the Army-ant swarm a modular, adaptive, and dynamic system. Several algorithms for the spatial self-organization of the robots are given. Self-organizing agents can arrange themselves geometrically in two- and three-dimensional space using only local information about teammates. The method is a distributed one: each agent uses only the information obtained by its own sensors. Algorithms are based on feasible assumptions. It is also shown possible to divide such a population into different groups around goals by communicating minimal data. Data transfer has a broadcast characteristic. Behavioral self-organization in the Army-ant scenario is also investigated. Activation and inhibition relations between robots determine the behavior (position in a behavioral space) of the agents, while in spatial self-organization force fields are in effect. Several problems which may be encountered and the solution to some of these problems are outlined. Methods for communication and cooperative decision systems — such as coupled van der Pol oscillators — in finding and carrying the pallets are proposed. Sensors and communication systems that may be used in the Army-ant scenario are also briefly discussed. | en |
dc.description.degree | Master of Science | en |
dc.format.extent | xi, 128 leaves | en |
dc.format.medium | BTD | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.other | etd-05092009-040444 | en |
dc.identifier.sourceurl | http://scholar.lib.vt.edu/theses/available/etd-05092009-040444/ | en |
dc.identifier.uri | http://hdl.handle.net/10919/42542 | en |
dc.language.iso | en | en |
dc.publisher | Virginia Tech | en |
dc.relation.haspart | LD5655.V855_1993.U572.pdf | en |
dc.relation.isformatof | OCLC# 28922317 | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject.lcc | LD5655.V855 1993.U572 | en |
dc.subject.lcsh | Mobile robots | en |
dc.title | Self-organization in large populations of mobile robots | en |
dc.type | Thesis | en |
dc.type.dcmitype | Text | en |
thesis.degree.discipline | Electrical Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
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