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Constrained Cartesian motion control for teleoperated surgical robots
This paper addresses the problem of optimal motion control for teleoperated surgical robots, which must maneuver in constrained workspaces, often through a narrow entry portal into the patient's body. The control problem is determining how best to use the available degrees of freedom of a surgi...
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Published in: | IEEE transactions on robotics and automation 1996-06, Vol.12 (3), p.453-465 |
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container_end_page | 465 |
container_issue | 3 |
container_start_page | 453 |
container_title | IEEE transactions on robotics and automation |
container_volume | 12 |
creator | Funda, J. Taylor, R.H. Eldridge, B. Gomory, S. Gruben, K.G. |
description | This paper addresses the problem of optimal motion control for teleoperated surgical robots, which must maneuver in constrained workspaces, often through a narrow entry portal into the patient's body. The control problem is determining how best to use the available degrees of freedom of a surgical robot to accomplish a particular task, while respecting geometric constraints on the work volume, robot mechanism, and the specific task requirements. We present a method of formulating desired motions as sets of task goals in any number of coordinate frames (task frames) relevant to the task, optionally subject to additional linear constraints in each of the task frames. Mathematically, the kinematic control problem is posed as a constrained quadratic optimization problem and is shown to be computable in real time on a PC. We will present experimental results of the application of this control methodology to both kinematically deficient and kinematically redundant robots. Specifically, we will discuss the control issues within the context of a representative set of tasks in robot-assisted laparoscopy, which includes (but is not limited to) teleoperated navigation of a laparoscopic camera attached to a surgical robot. A system based on this control formalism has been used in preclinical in vivo studies at the Johns Hopkins University Medical Center and the early experience with the system will be summarized. |
doi_str_mv | 10.1109/70.499826 |
format | article |
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The control problem is determining how best to use the available degrees of freedom of a surgical robot to accomplish a particular task, while respecting geometric constraints on the work volume, robot mechanism, and the specific task requirements. We present a method of formulating desired motions as sets of task goals in any number of coordinate frames (task frames) relevant to the task, optionally subject to additional linear constraints in each of the task frames. Mathematically, the kinematic control problem is posed as a constrained quadratic optimization problem and is shown to be computable in real time on a PC. We will present experimental results of the application of this control methodology to both kinematically deficient and kinematically redundant robots. Specifically, we will discuss the control issues within the context of a representative set of tasks in robot-assisted laparoscopy, which includes (but is not limited to) teleoperated navigation of a laparoscopic camera attached to a surgical robot. A system based on this control formalism has been used in preclinical in vivo studies at the Johns Hopkins University Medical Center and the early experience with the system will be summarized.</description><identifier>ISSN: 1042-296X</identifier><identifier>EISSN: 2374-958X</identifier><identifier>DOI: 10.1109/70.499826</identifier><identifier>CODEN: IRAUEZ</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Cameras ; Computer science; control theory; systems ; Constraint optimization ; Control theory. 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(IEEE) Jun 1996</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-5a24f04700363ebacefab15a249639ddc23e69fb4e00b8ea0cbc86c5ab9d50f63</citedby><cites>FETCH-LOGICAL-c399t-5a24f04700363ebacefab15a249639ddc23e69fb4e00b8ea0cbc86c5ab9d50f63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/499826$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3094361$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Funda, J.</creatorcontrib><creatorcontrib>Taylor, R.H.</creatorcontrib><creatorcontrib>Eldridge, B.</creatorcontrib><creatorcontrib>Gomory, S.</creatorcontrib><creatorcontrib>Gruben, K.G.</creatorcontrib><title>Constrained Cartesian motion control for teleoperated surgical robots</title><title>IEEE transactions on robotics and automation</title><addtitle>T-RA</addtitle><description>This paper addresses the problem of optimal motion control for teleoperated surgical robots, which must maneuver in constrained workspaces, often through a narrow entry portal into the patient's body. The control problem is determining how best to use the available degrees of freedom of a surgical robot to accomplish a particular task, while respecting geometric constraints on the work volume, robot mechanism, and the specific task requirements. We present a method of formulating desired motions as sets of task goals in any number of coordinate frames (task frames) relevant to the task, optionally subject to additional linear constraints in each of the task frames. Mathematically, the kinematic control problem is posed as a constrained quadratic optimization problem and is shown to be computable in real time on a PC. We will present experimental results of the application of this control methodology to both kinematically deficient and kinematically redundant robots. Specifically, we will discuss the control issues within the context of a representative set of tasks in robot-assisted laparoscopy, which includes (but is not limited to) teleoperated navigation of a laparoscopic camera attached to a surgical robot. A system based on this control formalism has been used in preclinical in vivo studies at the Johns Hopkins University Medical Center and the early experience with the system will be summarized.</description><subject>Applied sciences</subject><subject>Cameras</subject><subject>Computer science; control theory; systems</subject><subject>Constraint optimization</subject><subject>Control theory. Systems</subject><subject>Exact sciences and technology</subject><subject>Laparoscopes</subject><subject>Medical equipment</subject><subject>Medical robotics</subject><subject>Motion control</subject><subject>Navigation</subject><subject>Portals</subject><subject>Robot kinematics</subject><subject>Robot vision systems</subject><subject>Robotics</subject><subject>Robots</subject><subject>Surgery</subject><issn>1042-296X</issn><issn>2374-958X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><recordid>eNpd0EtLAzEQB_AgCtbHwaunRUTwsDWvzW6OstQHFLwo9Bay2VlJ2SY1yR789qa09OApMPnlP5NB6IbgOSFYPtV4zqVsqDhBM8pqXsqqWZ2iGcGcllSK1Tm6iHGNMWaE8hlatN7FFLR10BetDgmi1a7Y-GS9K4x3KfixGHwoEozgtxB0yjJO4dsaPRbBdz7FK3Q26DHC9eG8RF8vi8_2rVx-vL63z8vSMClTWWnKB8zr3Fww6LSBQXdkV5WCyb43lIGQQ8cB464BjU1nGmEq3cm-woNgl-hhn7sN_meCmNTGRgPjqB34KSpS1YxRyjO8-wfXfgouz6Yo4xI3NaszetwjE3yMAQa1DXajw68iWO22qWqs9tvM9v4QqGP-9xC0MzYeHzAsORMks9s9swBwvD1k_AGLXXzM</recordid><startdate>19960601</startdate><enddate>19960601</enddate><creator>Funda, J.</creator><creator>Taylor, R.H.</creator><creator>Eldridge, B.</creator><creator>Gomory, S.</creator><creator>Gruben, K.G.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>19960601</creationdate><title>Constrained Cartesian motion control for teleoperated surgical robots</title><author>Funda, J. ; Taylor, R.H. ; Eldridge, B. ; Gomory, S. ; Gruben, K.G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-5a24f04700363ebacefab15a249639ddc23e69fb4e00b8ea0cbc86c5ab9d50f63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Applied sciences</topic><topic>Cameras</topic><topic>Computer science; control theory; systems</topic><topic>Constraint optimization</topic><topic>Control theory. Systems</topic><topic>Exact sciences and technology</topic><topic>Laparoscopes</topic><topic>Medical equipment</topic><topic>Medical robotics</topic><topic>Motion control</topic><topic>Navigation</topic><topic>Portals</topic><topic>Robot kinematics</topic><topic>Robot vision systems</topic><topic>Robotics</topic><topic>Robots</topic><topic>Surgery</topic><toplevel>online_resources</toplevel><creatorcontrib>Funda, J.</creatorcontrib><creatorcontrib>Taylor, R.H.</creatorcontrib><creatorcontrib>Eldridge, B.</creatorcontrib><creatorcontrib>Gomory, S.</creatorcontrib><creatorcontrib>Gruben, K.G.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>IEEE transactions on robotics and automation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Funda, J.</au><au>Taylor, R.H.</au><au>Eldridge, B.</au><au>Gomory, S.</au><au>Gruben, K.G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Constrained Cartesian motion control for teleoperated surgical robots</atitle><jtitle>IEEE transactions on robotics and automation</jtitle><stitle>T-RA</stitle><date>1996-06-01</date><risdate>1996</risdate><volume>12</volume><issue>3</issue><spage>453</spage><epage>465</epage><pages>453-465</pages><issn>1042-296X</issn><eissn>2374-958X</eissn><coden>IRAUEZ</coden><abstract>This paper addresses the problem of optimal motion control for teleoperated surgical robots, which must maneuver in constrained workspaces, often through a narrow entry portal into the patient's body. The control problem is determining how best to use the available degrees of freedom of a surgical robot to accomplish a particular task, while respecting geometric constraints on the work volume, robot mechanism, and the specific task requirements. We present a method of formulating desired motions as sets of task goals in any number of coordinate frames (task frames) relevant to the task, optionally subject to additional linear constraints in each of the task frames. Mathematically, the kinematic control problem is posed as a constrained quadratic optimization problem and is shown to be computable in real time on a PC. We will present experimental results of the application of this control methodology to both kinematically deficient and kinematically redundant robots. Specifically, we will discuss the control issues within the context of a representative set of tasks in robot-assisted laparoscopy, which includes (but is not limited to) teleoperated navigation of a laparoscopic camera attached to a surgical robot. A system based on this control formalism has been used in preclinical in vivo studies at the Johns Hopkins University Medical Center and the early experience with the system will be summarized.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/70.499826</doi><tpages>13</tpages></addata></record> |
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ispartof | IEEE transactions on robotics and automation, 1996-06, Vol.12 (3), p.453-465 |
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source | IEEE Xplore (Online service) |
subjects | Applied sciences Cameras Computer science control theory systems Constraint optimization Control theory. Systems Exact sciences and technology Laparoscopes Medical equipment Medical robotics Motion control Navigation Portals Robot kinematics Robot vision systems Robotics Robots Surgery |
title | Constrained Cartesian motion control for teleoperated surgical robots |
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