Publication:
6-Axis Hybrid Sensing and Estimation of Tip Forces/Torques on a Hyper-Redundant Robotic Surgical Instrument

dc.contributor.authorsYilmaz N., Bazman M., Alassi A., Gur B., Tumerdem U.
dc.date.accessioned2022-03-15T02:13:59Z
dc.date.accessioned2026-01-11T15:49:14Z
dc.date.available2022-03-15T02:13:59Z
dc.date.issued2019
dc.description.abstractIn this paper a hybrid method for estimation of 6 degree-of-freedom (DOF) laparoscopic instrument tip force/torques in robotic-assisted minimally invasive surgery systems is proposed. The method is implemented on an in-house developed hyper-redundant (11-DOF) surgical robotic forceps prototype. This surgical robot is composed of two modules with a 7-DOF Kuka IIWA manipulator for performing 4-DOF Remote Centre of Motion (RCM) about the trocar and an articulated 4-DOF parallel wrist/gripper mechanism attached to the distal end of the Kuka robot for intra-corporeal manipulation. The hybrid sensor-based/sensorless method fuses torque estimates from the parallel wrist mechanism with measurements from a force sensor attached between the wrist base and the Kuka tool frame. With this approach it is possible to obtain force/torque estimates on all Cartesian axes (x, y, z, yaw, pitch, roll) of the forceps tip. The prototype is one of the first systems designed for robotic surgery that can achieve accurate force estimation on all 6 axes of the instrument tip. Experiment validation results with a force sensor verify the efficacy of the proposed method. © 2019 IEEE.
dc.identifier.doi10.1109/IROS40897.2019.8967835
dc.identifier.isbn9781728140049
dc.identifier.issn21530858
dc.identifier.urihttps://hdl.handle.net/11424/247986
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE International Conference on Intelligent Robots and Systems
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.title6-Axis Hybrid Sensing and Estimation of Tip Forces/Torques on a Hyper-Redundant Robotic Surgical Instrument
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage2997
oaire.citation.startPage2990
oaire.citation.titleIEEE International Conference on Intelligent Robots and Systems

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