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Justin Cobb

dblp:13/44 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2006
0000-0002-6095-8822ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 5Graphics, computer vision, multimedia, augmented reality and games · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Robot manipulation · 63% Motion planning and robot control · 25% Robot navigation and mapping · 12%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › medical robotics
surgical robotics
0.112006
Active-Constraint Robotics for Surgery · Proc. IEEE 2006
Medical and health informatics
computer-assisted surgery
0.112006
Active-Constraint Robotics for Surgery · Proc. IEEE 2006
Robotics › Robot manipulation
medical robotics
0.012003
The hands-on orthopaedic robot "acrobot": Early clinical trials of total knee replacement surgery · IEEE Trans. Robotics Autom. 2003
Robotics › Motion planning and robot control
robot control
0.012003
The hands-on orthopaedic robot "acrobot": Early clinical trials of total knee replacement surgery · IEEE Trans. Robotics Autom. 2003
Robotics › Robot navigation and mapping
surgical navigation
0.012006
Active-Constraint Robotics for Surgery · Proc. IEEE 2006

Methods — techniques the papers use, named apart from their topics

robotic-assisted surgery · 0.1randomized controlled trial · 0.1preoperative planning · 0.0anatomical registration · 0.0
YearPublicationVenuePosition
2006 Active-Constraint Robotics for Surgery
abstract
The concepts and benefits of hands-on robotic surgery and active-constraint robotics are introduced. The argument is made for systems to be cost effective and simple in order that they can be justified for a large range of surgical procedures. The case is made for robotic systems to have a clear justification, with benefits compared to those from cheaper navigation systems. The need to have robust systems, that require little surgical training and no technical presence in the operating room, is also discussed. An active constraint medical robot, the Acrobot System, is described together with its use in a prospective randomized controlled trial of unicondylar knee arthroplasty (UKA), comparing the performance of the Acrobot System with conventional surgery. Twenty-eight patients awaiting UKA were randomly allocated to have the operation performed conventionally or with the assistance of the Acrobot. The results of the trial are presented together with a discussion of the need for measures of accuracy to be introduced so that the efficacy of the robotic surgery can be immediately identified, rather than having to wait for a number of years before long-term clinical improvements can be demonstrated.
Brian L. Davies, Matjaz Jakopec, Simon J. Harris, Ferdinando Rodriguez y Baena, Adrian R. W. Barrett, A. Evangelidis, Johan Henckel, Justin Cobb
Proc. IEEE9
2003 The hands-on orthopaedic robot "acrobot": Early clinical trials of total knee replacement surgery
abstract
A "hands-on" robotic system for total knee replacement (TKR) surgery is presented. A computer tomography-based preoperative planning software is used to accurately plan the procedure. Intraoperatively, the surgeon guides a small special-purpose robot, called Acrobot, which is mounted on a gross positioning device. The Acrobot uses active constraint control, which constrains the motion to a predefined region, and thus allows the surgeon to safely cut the knee bones to fit a TKR prosthesis with high precision. A noninvasive anatomical registration method is described. The system has been successfully used in seven clinical trials with encouraging results.
Matjaz Jakopec, Ferdinando Rodriguez y Baena, Simon J. Harris, Paula Gomes, Justin Cobb, Brian L. Davies
IEEE Trans. Robotics Autom.5
2002 Preliminary Results of an Early Clinical Experience with the AcrobotTM System for Total Knee Replacement Surgery
Matjaz Jakopec, Simon J. Harris, Ferdinando Rodriguez y Baena, Paula Gomes, Justin Cobb, Brian L. Davies
MICCAI (1)5
1999 Intra-operative Application of a Robotic Knee Surgery System
Simon J. Harris, Matjaz Jakopec, Justin Cobb, Brian L. Davies
MICCAI3
1998 Interactive Pre-Operative Selection of Cutting Constraints, and Interactive Force Controlled Knee Surgery by a Surgical Robot
Simon J. Harris, Matjaz Jakopec, Roger D. Hibberd, Justin Cobb, Brian L. Davies
MICCAI4