110 citations · 176 across the 9 of their papers we have counts for
9 papers
Image Based Reconstruction of Liquids from 2D Surface Detections
Florian Richter, Ryan K. Orosco, Michael C. Yip
In this work, we present a solution to the challenging problem of reconstructing liquids from image data. The challenges in reconstructing liquids, which is not faced in previous r…
From Bench to Bedside: The First Live Robotic Surgery on the dVRK to Enable Remote Telesurgery with Motion Scaling
Florian Richter, Emily K. Funk, Won Seo Park +2
Innovations from surgical robotic research rarely translates to live surgery due to the significant difference between the lab and a live environment. Live environments require con…
Robotic Tool Tracking under Partially Visible Kinematic Chain: A Unified Approach
Florian Richter, Jingpei Lu, Ryan K. Orosco +1
Anytime a robot manipulator is controlled via visual feedback, the transformation between the robot and camera frame must be known. However, in the case where cameras can only capt…
Bimanual Regrasping for Suture Needles using Reinforcement Learning for Rapid Motion Planning
Zih-Yun Chiu, Florian Richter, Emily K. Funk +2
Regrasping a suture needle is an important yet time-consuming process in suturing. To bring efficiency into regrasping, prior work either designs a task-specific mechanism or guide…
Autonomous Robotic Suction to Clear the Surgical Field for Hemostasis using Image-based Blood Flow Detection
Florian Richter, Shihao Shen, Fei Liu +4
Autonomous robotic surgery has seen significant progression over the last decade with the aims of reducing surgeon fatigue, improving procedural consistency, and perhaps one day ta…
SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics
Yang Li, Florian Richter, Jingpei Lu +4
Traditional control and task automation have been successfully demonstrated in a variety of structured, controlled environments through the use of highly specialized modeled roboti…
Open-Sourced Reinforcement Learning Environments for Surgical Robotics
Florian Richter, Ryan K. Orosco, Michael C. Yip
Reinforcement Learning (RL) is a machine learning framework for artificially intelligent systems to solve a variety of complex problems. Recent years has seen a surge of successes…
Motion Scaling Solutions for Improved Performance in High Delay Surgical Teleoperation
Florian Richter, Ryan K. Orosco, Michael C. Yip
Robotic teleoperation brings great potential for advances within the field of surgery. The ability of a surgeon to reach patient remotely opens exciting opportunities. Early experi…
Augmented Reality Predictive Displays to Help Mitigate the Effects of Delayed Telesurgery
Florian Richter, Yifei Zhang, Yuheng Zhi +2
Surgical robots offer the exciting potential for remote telesurgery, but advances are needed to make this technology efficient and accurate to ensure patient safety. Achieving thes…