Global navigation approach for assistant robot

Context: This work shows a novel navigation approach based on images for an assistant hybrid robot composed by a humanoid and an omnidirectional platform. Method: This approach introduces a complex space analysis, using Zeros and Poles attraction-repulsion principle. In order to perform the algorith...

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Autores:
Martínez Santa, Fernando
Arbulú, Mario Ricardo
Orjuela, Santiago
Tipo de recurso:
Article of investigation
Fecha de publicación:
2016
Institución:
Corporación Unificada Nacional de Educación Superior
Repositorio:
Repositorio Corporación Unificada Nacional de Educación Superior
Idioma:
eng
OAI Identifier:
oai:repositorio.cun.edu.co:cun/4360
Acceso en línea:
https://repositorio.cun.edu.co/handle/cun/4360
Palabra clave:
Ingeniería y operaciones afines
Navigation
Path planning
Mobile robot
Root Locus
Omnidirectional platform
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
Description
Summary:Context: This work shows a novel navigation approach based on images for an assistant hybrid robot composed by a humanoid and an omnidirectional platform. Method: This approach introduces a complex space analysis, using Zeros and Poles attraction-repulsion principle. In order to perform the algorithm, an integrated system is developed; this system includes: an external camera to take a global navigation surface view, the assistant robot, and communication devices. Navigation is supported by some digital image processing algorithms and performed using the root location technique. Results: An integrated system of global navigation with external sensors was successfully implemented for the proposed hybrid robot. Conclusions: Some simulation and experimental tests will be discussed in order to validate this proposal and the whole system. Additionally, some suggestions for future research are proposed.