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dc.contributor.authorGinnante, Angelica
dc.contributor.authorCaro, Stéphane
dc.contributor.authorSimetti, Enrico
dc.contributor.authorLeborne, François
dc.date.accessioned2023-08-16T18:37:20Z
dc.date.available2023-08-16T18:37:20Z
dc.date.copyright3/27/2023 12:00:00 AM
dc.date.issued2023
dc.identifier.issn1942-4302
dc.identifier.otherjmr_16_3_031007.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4292228
dc.description.abstractIn manufacturing industry, computer numerical control (CNC) machines are often preferred over industrial serial robots (ISR) for machining tasks. Indeed, CNC machines offer high positioning accuracy, which leads to slight dimensional deviation on the final product. However, these machines have a restricted workspace generating limitations in the machining work. Conversely, ISR are typically characterized by a larger workspace. ISR have already shown satisfactory performance in tasks like polishing, grinding, and deburring. This paper proposes a kinematic redundant robot composed of a novel two degrees-of-freedom mechanism with a closed kinematic chain. After describing a task-priority inverse kinematic control framework used for joint trajectory planning exploiting the robot kinematic redundancy, the paper analyses the kinetostatic performance of this robot depending on the considered control tasks. Moreover, two kinetostatic tasks are introduced and employed to improve the robot performance. Simulation results show how the robot better performs when the optimization tasks are active.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleKinetostatic Optimization for Kinematic Redundancy Planning of Nimbl’Bot Robot
dc.typeJournal Paper
dc.journal.volume16
dc.journal.issue3
dc.journal.titleJournal of Mechanisms and Robotics
dc.identifier.doi10.1115/1.4056830
dc.journal.fristpage31007-1
dc.journal.lastpage31007-13
dc.page13
dc.treeJournal of Mechanisms and Robotics:;2023:;volume( 016 ):;issue: 003
dc.contenttypeFulltext


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