جهت دسترسی به کاربرگه ی زیر، از این لینک استفاده کنید. http://dl.pgu.ac.ir/handle/Hannan/81745
Title: Hubot: a three state human-robot collaborative framework for bimanual surgical tasks based on learned models
Keywords: Science & Technology;Technology;Automation & Control Systems;Robotics;HYSTERECTOMY;RECOGNITION;IMITATION
Issue Date: 31-Jan-2017
9-Jun-2016
16-May-2016
Publisher: Institute of Electrical and Electronics Engineers
Description: The recent evolution of surgical robots has resolved a number of ergonomic issues associated with conventional minimally invasive surgery (MIS) in terms of aligned visiomotor axes, motion scaling and ergonomics. One of the latest advances is the introduction of human-robot cooperative control combining features such as active constraints, machine learning and automated movements. This paper aims to integrate these techniques into a framework which can be generalized to a wide range of surgical tasks. This paper proposes a system entitled Hubot; a Human-Robot collaborative framework which combines the strengths of the surgeon, the advantages of robotics and learning from demonstration into a single system. Hubot was successfully implemented on a Raven II surgical robot and a user study was conducted to evaluate its performance. Both a training and a simulated clinical case were investigated and showed promising results in comparison to fully manual task execution, including reduced completion time, fewer movements for the operator and improved efficiency.
URI: http://dx.doi.org/10.1109/ICRA.2016.7487198
Other Identifiers: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000389516200089&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
978-1-4673-8026-3
http://hdl.handle.net/10044/1/43856
HICF-T4-299
Type Of Material: OTHER
Appears in Collections:Faculty of Engineering

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