4 citations · 6 across the 3 of their papers we have counts for
4 papers · 1 filter
Toward Synergic Learning for Autonomous Manipulation of Deformable Tissues via Surgical Robots: An Approximate Q-Learning Approach
Sahba Aghajani Pedram, Peter Walker Ferguson, Changyeob Shin +4
In this paper, we present a synergic learning algorithm to address the task of indirect manipulation of an unknown deformable tissue. Tissue manipulation is a common yet challengin…
Raven: Open Surgical Robotic Platforms
Yangming Li, Blake Hannaford, Jacob Rosen
The Raven I and the Raven II surgical robots, as open research platforms, have been serving the robotic surgery research community for ten years. The paper 1) briefly presents the…
Autonomous Tissue Manipulation via Surgical Robot Using Learning Based Model Predictive Control
Changyeob Shin, Peter Walker Ferguson, Sahba Aghajani Pedram +3
Tissue manipulation is a frequently used fundamental subtask of any surgical procedures, and in some cases it may require the involvement of a surgeon's assistant. The complex dyna…
Optimal Needle Diameter, Shape, and Path in Autonomous Suturing
S. Aghajani Pedram, P. Ferguson, J. Ma +2
Needle shape, diameter, and path are critical parameters that directly affect suture depth and tissue trauma in autonomous suturing. This paper presents an optimization-based appro…