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Optimization approaches for robot trajectory planning

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Optimization approaches for robot trajectory planning

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dc.contributor.author Llopis-Albert, Carlos es_ES
dc.contributor.author Rubio, Francisco es_ES
dc.contributor.author Valero, Francisco es_ES
dc.date.accessioned 2018-04-04T12:12:48Z
dc.date.available 2018-04-04T12:12:48Z
dc.date.issued 2018-03-29
dc.identifier.uri http://hdl.handle.net/10251/100022
dc.description.abstract [EN] The development of optimal trajectory planning algorithms for autonomous robots is a key issue in order to efficiently perform the robot tasks. This problem is hampered by the complex environment regarding the kinematics and dynamics of robots with several arms and/or degrees of freedom (dof), the design of collision-free trajectories and the physical limitations of the robots. This paper presents a review about the existing robot motion planning techniques and discusses their pros and cons regarding completeness, optimality, efficiency, accuracy, smoothness, stability, safety and scalability. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València
dc.relation.ispartof Multidisciplinary Journal for Education, Social and Technological Sciences
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Algorithms es_ES
dc.subject Optimal Trajectory es_ES
dc.subject Kinematic and Dynamic constraints es_ES
dc.subject Minimum time es_ES
dc.subject Energy es_ES
dc.subject Obstacle avoidance es_ES
dc.title Optimization approaches for robot trajectory planning es_ES
dc.type Artículo es_ES
dc.date.updated 2018-04-04T11:20:52Z
dc.identifier.doi 10.4995/muse.2018.9867
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Llopis-Albert, C.; Rubio, F.; Valero, F. (2018). Optimization approaches for robot trajectory planning. Multidisciplinary Journal for Education, Social and Technological Sciences. 5(1):1-16. doi:10.4995/muse.2018.9867 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/muse.2018.9867 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 5
dc.description.issue 1
dc.identifier.eissn 2341-2593


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