13 citations · 18 across the 5 of their papers we have counts for
5 papers
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training
Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu +4
Minimally invasive surgery (MIS) has many documented advantages, but the surgeon's limited visual contact with the scene can be problematic. Hence, systems that can help surgeons n…
Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning
Shahnewaz Ali, Yaqub Jonmohamadi, Yu Takeda +4
Knee arthroscopy is a minimally invasive surgical (MIS) procedure which is performed to treat knee-joint ailment. Lack of visual information of the surgical site obtained from mini…
Real-time Joint Motion Analysis and Instrument Tracking for Robot-Assisted Orthopaedic Surgery
Mario Strydom, Artur Banach, Liao Wu +3
Robotic-assisted orthopaedic surgeries demand accurate, automated leg manipulation for improved spatial accuracy to reduce iatrogenic damage. In this study, we propose novel rigid…
Optimal Dexterity for a Snake-like Surgical Manipulator using Patient-specific Task-space Constraints in a Computational Design Algorithm
Andrew Razjigaev, Ajay K. Pandey, Jonathan Roberts +1
Tendon-driven snake-like arms have been used to create highly dexterous continuum robots so that they can bend around anatomical obstacles to access clinical targets. In this paper…
Geometric interpretation of the general POE model for a serial-link robot via conversion into D-H parameterization
Liao Wu, Ross Crawford, Jonathan Roberts
While Product of Exponentials (POE) formula has been gaining increasing popularity in modeling the kinematics of a serial-link robot, the Denavit-Hartenberg (D-H) notation is still…