ICRA 2011 Paper Abstract


Paper ThA205.3

Azimian, Hamidreza (The University of Western Ontario), Patel, Rajni (The University of Western Ontario), Naish, Michael D. (The University of Western Ontario), Kiaii, Bob (Lawson Health Research Institute)

A Framework for Preoperative Planning of Robotics-Assisted Minimally Invasive Cardiac Surgery (RAMICS) under Geometric Uncertainty

Scheduled for presentation during the Regular Sessions "Manipulation Planning II" (ThA205), Thursday, May 12, 2011, 10:35−10:50, Room 3G

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on August 18, 2019

Keywords Medical Robots and Systems, Manipulation Planning, Cooperative Manipulators


In this paper, robust preoperative planning of RAMICS is formulated. The intent of the proposed planning framework is to improve surgical outcomes by contemplating the intraoperative conditions of the surgical procedure and the geometry of the patientís thoracic anatomy. This includes improvements in target reachability, instrument dexterity for critical surgical tasks, surgical task feasibility and visibility. Given the patientís preoperative computed tomography images of the chest, the planning framework aims to determine the optimal location of the access ports on the ribcage, along with the optimal pose of the robotic arms relative to the patientís anatomy. To minimize susceptibility of the results to intraoperative geometric uncertainty, the planning is formulated as a Generalized Semi-Infinite Program (GSIP) with a convex lower level problem and a multi-criteria objective function. By solving the GSIP, tolerable geometric uncertainty within the task space is increased by eliminating the likelihood of collisions and joint limit violation in a neighborhood of the surgical target.



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