{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/78210"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/78210","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Efficient design of precision medical robotics","abstract":"Medical robotics is increasingly demonstrating the potential to improve patient care through more precise interventions. However, taking inspiration from industrial robotics has often resulted in large, sometimes cumbersome designs, which represent high capital and per procedure expenditures, as well as increased procedure times. This thesis proposes and demonstrates an alternative model and method for developing economical, appropriately scaled medical robots that improve care and efficiency, while moderating costs. Key to this approach is a structured design process that actively reduces complexity. A selected medical procedure is decomposed into discrete tasks which are then separated into those that are conducted satisfactorily and those where the clinician encounters limitations, often where robots' strengths would be complimentary. Then by following deterministic principles and with continual user participation, prototyping and testing, a system can be designed that integrates into and assists with current procedures, rather than requiring a completely new protocol. This model is expected to lay the groundwork for increasing the use of hands-on technology in interventional medicine.","abstract_html":"Medical robotics is increasingly demonstrating the potential to improve patient care through more precise interventions. However, taking inspiration from industrial robotics has often resulted in large, sometimes cumbersome designs, which represent high capital and per procedure expenditures, as well as increased procedure times. This thesis proposes and demonstrates an alternative model and method for developing economical, appropriately scaled medical robots that improve care and efficiency, while moderating costs. Key to this approach is a structured design process that actively reduces complexity. A selected medical procedure is decomposed into discrete tasks which are then separated into those that are conducted satisfactorily and those where the clinician encounters limitations, often where robots' strengths would be complimentary. Then by following deterministic principles and with continual user participation, prototyping and testing, a system can be designed that integrates into and assists with current procedures, rather than requiring a completely new protocol. This model is expected to lay the groundwork for increasing the use of hands-on technology in interventional medicine.","abstract_has_math":false,"creators":["Hanumara, Nevan Clancy"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Mechanical Engineering.","school":null,"contributors":[],"advisors":["Alexander H. Slocum."],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012","date_published":"2012","updated_at":"2026-07-22T22:21:45Z","subjects":["Mechanical Engineering."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/78210","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Alexander H. Slocum."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Dept. of Mechanical Engineering."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. 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The certified thesis is available in the Institute Archives and Special Collections.","Cataloged from student-submitted PDF version of thesis.","Includes bibliographical references (p. 106-114)."]},{"key":"dc:description.abstract","label":"Abstract","values":["Medical robotics is increasingly demonstrating the potential to improve patient care through more precise interventions. However, taking inspiration from industrial robotics has often resulted in large, sometimes cumbersome designs, which represent high capital and per procedure expenditures, as well as increased procedure times. This thesis proposes and demonstrates an alternative model and method for developing economical, appropriately scaled medical robots that improve care and efficiency, while moderating costs. Key to this approach is a structured design process that actively reduces complexity. 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However, taking inspiration from industrial robotics has often resulted in large, sometimes cumbersome designs, which represent high capital and per procedure expenditures, as well as increased procedure times. This thesis proposes and demonstrates an alternative model and method for developing economical, appropriately scaled medical robots that improve care and efficiency, while moderating costs. Key to this approach is a structured design process that actively reduces complexity. A selected medical procedure is decomposed into discrete tasks which are then separated into those that are conducted satisfactorily and those where the clinician encounters limitations, often where robots' strengths would be complimentary. Then by following deterministic principles and with continual user participation, prototyping and testing, a system can be designed that integrates into and assists with current procedures, rather than requiring a completely new protocol. 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