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cs.RO2019

Learning to Detect Collisions for Continuum Manipulators without a Prior Model

Shahriar Sefati, Shahin Sefati, Iulian Iordachita +2

Due to their flexibility, dexterity, and compact size, Continuum Manipulators (CMs) can enhance minimally invasive interventions. In these procedures, the CM may be operated in pro…

cs.RO2018

FBG-Based Position Estimation of Highly Deformable Continuum Manipulators: Model-Dependent vs. Data-Driven Approaches

Shahriar Sefati, Rachel Hegeman, Farshid Alambeigi +2

Conventional shape sensing techniques using Fiber Bragg Grating (FBG) involve finding the curvature at discrete FBG active areas and integrating curvature over the length of the co…

cs.RO2018

FBG-Based Control of a Continuum Manipulator Interacting With Obstacles

Shahriar Sefati, Ryan Murphy, Farshid Alambeigi +4

Tracking and controlling the shape of continuum dexterous manipulators (CDM) in constraint environments is a challenging task. The imposed constraints and interaction with unknown…

cs.RO2018

On The Effect of Vibration on Shape Sensing of Continuum Manipulators Using Fiber Bragg Gratings

Shahriar Sefati, Farshid Alambeigi, Iulian Iordachita +2

Fiber Bragg Grating (FBG) has shown great potential in shape and force sensing of continuum manipulators (CM) and biopsy needles. In the recent years, many researchers have studied…

cs.RO2018

A Convex Optimization Framework for Constrained Concurrent Motion Control of a Hybrid Redundant Surgical System

Farshid Alambeigi, Shahriar Sefati, Mehran Armand

We present a constrained motion control framework for a redundant surgical system designed for minimally invasive treatment of pelvic osteolysis. The framework comprises a kinemati…