dc.creator | Pérez Hurtado de Mendoza, Ignacio | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.date.accessioned | 2021-11-29T09:03:39Z | |
dc.date.available | 2021-11-29T09:03:39Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Pérez Hurtado de Mendoza, I. y Pérez Jiménez, M.d.J. (2017). Generation of rapidly-exploring random trees by using a new class of membrane systems. En ACMC 2018: The 7th Asian Conference on Membrane Computing (534-546), Chengdu, China: Xihua University. | |
dc.identifier.uri | https://hdl.handle.net/11441/127729 | |
dc.description.abstract | Methods based on Rapidly-exploring Random Trees (RRTs)
have been in use in robotics to solve motion planning problems for nearly
two decades. On the other hand, models based on Enzymatic Numerical
P systems (ENPS) have been applied to robot controllers for more than
six years. These controllers in real robots handle the power of motors ac-
cording to motion commands usually generated by planning algorithms,
but today there is a lack of planning algorithms based on membrane sys-
tems for robotics. With this motivation, we provide in this paper a new
variant of ENPS called Random Enzymatic Numerical P systems with
Proteins and Shared Memory (RENPSM) oriented to RRTs for planning
in robotics and we illustrate it by presenting a model for generation of
RRTs with holonomic limitations. We are working on the ENPS frame-
work with the idea of moving towards a complete mobile robot system
based on membrane systems, i.e. including controllers and planning; and
we have incorporated new ingredients into the ENPS framework to meet
the requirements of the RRT generation algorithm. | es |
dc.format | application/pdf | es |
dc.format.extent | 13 | es |
dc.language.iso | eng | es |
dc.publisher | Xihua University | es |
dc.relation.ispartof | ACMC 2018: The 7th Asian Conference on Membrane Computing (2017), pp. 534-546. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Generation of rapidly-exploring random trees by using a new class of membrane systems | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.publisherversion | http://imcs.org.cn/img/(ACMC-2017)%206th.pdf | es |
dc.contributor.group | Universidad de Sevilla. TIC193 : Computación Natural | es |
dc.publication.initialPage | 534 | es |
dc.publication.endPage | 546 | es |
dc.eventtitle | ACMC 2018: The 7th Asian Conference on Membrane Computing | es |
dc.eventinstitution | Chengdu, China | es |
dc.relation.publicationplace | Chengdu, China | es |