2020 17th International Conference on Ubiquitous Robots (UR) 2020
DOI: 10.1109/ur49135.2020.9144768
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Design and Control of a Piezoelectric Actuated Prostate Intervention Robotic System

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Cited by 8 publications
(3 citation statements)
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“…This information helps in haptic control for needle insertion to overcome force sensor placement issues within the MR scanner. Lin et al [117] presented a 6 DOF serial mechanism robot for prostate intervention, actuated using 6 USMs (3 for Cartesian motion, 2 for needle orientation, and 1 for needle insertion). Authors measured 1.…”
Section: E Mri Based Robotic Developments For Prostate Interventionsmentioning
confidence: 99%
“…This information helps in haptic control for needle insertion to overcome force sensor placement issues within the MR scanner. Lin et al [117] presented a 6 DOF serial mechanism robot for prostate intervention, actuated using 6 USMs (3 for Cartesian motion, 2 for needle orientation, and 1 for needle insertion). Authors measured 1.…”
Section: E Mri Based Robotic Developments For Prostate Interventionsmentioning
confidence: 99%
“…Goldenberg et al [17] developed an MRI-P robot using USM actuation with optical encoders, demonstrated ablation using automated trajectory for manual needle placement and stated that it is capable of BT needle placement with the integration of an implant loader device. Lin et al [18] developed a compact 6 DOF robot with USM actuation for prostate intervention. Only a few robots [7], [8], [9], [11], and [19] demonstrated robotized implant or marker placement under MRI guidance, and other systems remain limited needle placement and intervention to be performed by the physician.…”
Section: Introductionmentioning
confidence: 99%
“…Further particularly, change mechanization becomes strong when a situation of nearness to the hurdle is achieved. The proposed system has been lastly examined relying on an actual robot rigger simulated in a V-REP medium [20]. The heterogeneous multi-robot framework is one of the most substantial research trends in the robotic field.…”
Section: Introductionmentioning
confidence: 99%