Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jacinto Colan"'
Publikováno v:
IEEE Access, Vol 12, Pp 87909-87922 (2024)
This study evaluates the impact of step size selection on Jacobian-based inverse kinematics (IK) for robotic manipulators. Although traditional constant step size approaches offer simplicity, they often exhibit limitations in convergence speed and pe
Externí odkaz:
https://doaj.org/article/f437234ba09a42f8a7f082333b1153cc
Publikováno v:
IEEE Access, Vol 11, Pp 91206-91224 (2023)
The growing need for high levels of autonomy in Autonomous Robotic Surgery Systems (ARSS) calls for innovative approaches to reduce surgeons’ cognitive load, optimize hospital workflows, and ensure efficient task-level reasoning and adaptation duri
Externí odkaz:
https://doaj.org/article/ad4fe622eb49442db5811952912d46bf
Publikováno v:
IEEE Access, Vol 11, Pp 6092-6105 (2023)
Robot-assisted minimally invasive surgery (RMIS) has been shown to be effective in improving surgeon capabilities, providing magnified 3D vision, highly dexterous surgical tools, and intuitive human-robot interfaces for high-precision tool motion con
Externí odkaz:
https://doaj.org/article/eab25a00d935419cbc985786c258800f
Publikováno v:
Surgeries, Vol 3, Iss 4, Pp 334-346 (2022)
Laparoscopic surgery (LS) is a minimally invasive technique that offers many advantages over traditional open surgery: it reduces trauma, scarring, and shortens recovery time. However, an important limitation is the loss of tactile sensations. Althou
Externí odkaz:
https://doaj.org/article/492cb8936c0e4154bbf320c4b6ca9c60
Autor:
Khusniddin Fozilov, Jacinto Colan, Ana Davila, Kazunari Misawa, Jie Qiu, Yuichiro Hayashi, Kensaku Mori, Yasuhisa Hasegawa
Publikováno v:
Sensors, Vol 23, Iss 24, p 9865 (2023)
In the context of Minimally Invasive Surgery, surgeons mainly rely on visual feedback during medical operations. In common procedures such as tissue resection, the automation of endoscopic control is crucial yet challenging, particularly due to the i
Externí odkaz:
https://doaj.org/article/3721741d99ad42a2aebf973b65d4de61
Publikováno v:
Sensors, Vol 23, Iss 6, p 3328 (2023)
Minimally invasive surgery has undergone significant advancements in recent years, transforming various surgical procedures by minimizing patient trauma, postoperative pain, and recovery time. However, the use of robotic systems in minimally invasive
Externí odkaz:
https://doaj.org/article/407bc69de2134367a3f529e5feb1edcb
Publikováno v:
Robotics, Vol 10, Iss 1, p 27 (2021)
The reduced workspace in endonasal endoscopic surgery (EES) hinders the execution of complex surgical tasks such as suturing. Typically, surgeons need to manipulate non-dexterous long surgical instruments with an endoscopic view that makes it difficu
Externí odkaz:
https://doaj.org/article/1b9e69647218476f9e672481decf448a
A Cooperative Human-Robot Interface for Constrained Manipulation in Robot-Assisted Endonasal Surgery
Publikováno v:
Applied Sciences, Vol 10, Iss 14, p 4809 (2020)
Endoscopic endonasal surgery (EES) is a minimally invasive technique for removal of pituitary adenomas or cysts at the skull base. This approach can reduce the invasiveness and recovery time compared to traditional open surgery techniques. However, i
Externí odkaz:
https://doaj.org/article/22870c80859e4475a4d7041e187a7479
Publikováno v:
2021 International Symposium on Micro-NanoMehatronics and Human Science (MHS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed4ba5e52e628d308755bb5c9e907653
https://doi.org/10.1109/mhs53471.2021.9767140
https://doi.org/10.1109/mhs53471.2021.9767140
Publikováno v:
Robotics
Volume 10
Issue 1
Robotics, Vol 10, Iss 27, p 27 (2021)
Volume 10
Issue 1
Robotics, Vol 10, Iss 27, p 27 (2021)
The reduced workspace in endonasal endoscopic surgery (EES) hinders the execution of complex surgical tasks such as suturing. Typically, surgeons need to manipulate non-dexterous long surgical instruments with an endoscopic view that makes it difficu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2424d835f47571defcaf16a791883bf