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dc.contributor.advisor
dc.contributor.authorKumar, Anil
dc.contributor.authorKala, Rahul
dc.date2016
dc.date.accessioned2021-04-21T13:42:09Z
dc.date.available2021-04-21T13:42:09Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11225
dc.description.abstractIn this paper, we describe the Linear Temporal Logic-based reactive motion planning. We address the problem of motion planning for mobile robots, wherein the goal specification of planning is given in complex environments. The desired task specification may consist of complex behaviors of the robot, including specifications for environment constraints, need of task optimality, obstacle avoidance, rescue specifications, surveillance specifications, safety specifications, etc. We use Linear Temporal Logic to give a representation for such complex task specification and constraints. The specifications are used by a verification engine to judge the feasibility and suitability of plans. The planner gives a motion strategy as output. Finally a controller is used to generate the desired trajectory to achieve such a goal. The approach is tested using simulations on the LTLMoP mission planning tool, operating over the Robot Operating System. Simulation results generated using high level planners and low level controllers work simultaneously for mission planning and controlling the physical behavior of the robot.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseriesvol. 3;nº 7
dc.relation.urihttps://ijimai.org/journal/bibcite/reference/2545es_ES
dc.rightsopenAccesses_ES
dc.subjecttemporal logices_ES
dc.subjectlinear temporal logices_ES
dc.subjectmission planninges_ES
dc.subjectrobot operating systemes_ES
dc.subjectrobot motion planninges_ES
dc.subjectIJIMAIes_ES
dc.titleLinear Temporal Logic-based Mission Planninges_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/ 10.9781/ijimai.2016.375


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