activity
20202026
most citedEfficiently Calibrating Cable-Driven Surgical Robots with RGBD Fiducial Sensing and Recurrent Neural Networks

48 citations · 92 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

MACAW: Reliable And Efficient Surgical Debridement Using Monocular Adaptive Compact Attention Windows

Ziyang Chen, Shutong Jin, Preethi Satish +6

Augmenting the dexterity of human surgeons has the potential to free them from tedious subtasks. We consider debridement (removal of diseased or dead tissue fragments), which is ch…

cs.RO2023

Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening

Vincent Schorp, Will Panitch, Kaushik Shivakumar +6

Accurate 3D sensing of suturing thread is a challenging problem in automated surgical suturing because of the high state-space complexity, thinness and deformability of the thread,…

cs.RO2022

Automating Vascular Shunt Insertion with the dVRK Surgical Robot

Karthik Dharmarajan, Will Panitch, Muyan Jiang +7

Vascular shunt insertion is a fundamental surgical procedure used to temporarily restore blood flow to tissues. It is often performed in the field after major trauma. We formulate…

cs.RO2021

Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles

Albert Wilcox, Justin Kerr, Brijen Thananjeyan +5

Robotic Surgical Assistants (RSAs) are commonly used to perform minimally invasive surgeries by expert surgeons. However, long procedures filled with tedious and repetitive tasks s…

cs.RO2020★ 38 cited

Automating Surgical Peg Transfer: Calibration with Deep Learning Can Exceed Speed, Accuracy, and Consistency of Humans

Minho Hwang, Jeffrey Ichnowski, Brijen Thananjeyan +5

Peg transfer is a well-known surgical training task in the Fundamentals of Laparoscopic Surgery (FLS). While human sur-geons teleoperate robots such as the da Vinci to perform this…

cs.RO2020★ 3 cited

Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation

Samuel Paradis, Minho Hwang, Brijen Thananjeyan +6

Automation of surgical tasks using cable-driven robots is challenging due to backlash, hysteresis, and cable tension, and these issues are exacerbated as surgical instruments must…

cs.RO2020★ 3 cited

On the Effectiveness of Virtual Reality-based Training for Robotic Setup

Arian Mehrfard, Javad Fotouhi, Tess Forster +5

Virtual Reality (VR) is rapidly increasing in popularity as a teaching tool. It allows for the creation of a highly immersive, three-dimensional virtual environment intended to sim…

cs.RO2020★ 48 cited

Efficiently Calibrating Cable-Driven Surgical Robots with RGBD Fiducial Sensing and Recurrent Neural Networks

Minho Hwang, Brijen Thananjeyan, Samuel Paradis +5

Automation of surgical subtasks using cable-driven robotic surgical assistants (RSAs) such as Intuitive Surgical's da Vinci Research Kit (dVRK) is challenging due to imprecision in…

cs.RO2020

Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot

Minho Hwang, Daniel Seita, Brijen Thananjeyan +5

Recent advances in depth-sensing have significantly increased accuracy, resolution, and frame rate, as shown in the 1920x1200 resolution and 13 frames per second Zivid RGBD camera.…