2 citations · 5 across the 7 of their papers we have counts for
8 papers
Digital Twin-Driven VR Teleoperation with Multi-View Spatial Perception for Surgical Robots
Chang Liu, Chenhao Yu, Honghao Zhao +5
Current robot-assisted minimally-invasive surgery (RMIS) platforms provide a fixed console for the surgeon to view stereo endoscopic images and teleoperate instruments inside the p…
Critical Anatomy-Preserving & Terrain-Augmenting Navigation (CAPTAiN): Application to Laminectomy Surgical Education
Jonathan Wang, Hisashi Ishida, David Usevitch +6
Surgical training remains a crucial milestone in modern medicine, with procedures such as laminectomy exemplifying the high risks involved. Laminectomy drilling requires precise ma…
An Extended Generalized Prandtl-Ishlinskii Hysteresis Model for I2RIS Robot
Yiyao Yue, Mojtaba Esfandiari, Pengyuan Du +5
Retinal surgery requires extreme precision due to constrained anatomical spaces in the human retina. To assist surgeons achieve this level of accuracy, the Improved Integrated Robo…
Model Predictive Path Integral Control of I2RIS Robot Using RBF Identifier and Extended Kalman Filter
Mojtaba Esfandiari, Pengyuan Du, Haochen Wei +4
Modeling and controlling cable-driven snake robots is a challenging problem due to nonlinear mechanical properties such as hysteresis, variable stiffness, and unknown friction betw…
FIRE-3DV: Framework-Independent Rendering Engine for 3D Graphics using Vulkan
Christopher John Allison, Haoying Zhou, Adnan Munawar +2
Interactive dynamic simulators are an accelerator for developing novel robotic control algorithms and complex systems involving humans and robots. In user training and synthetic da…
Improving the realism of robotic surgery simulation through injection of learning-based estimated errors
Juan Antonio Barragan, Hisashi Ishida, Adnan Munawar +1
The development of algorithms for automation of subtasks during robotic surgery can be accelerated by the availability of realistic simulation environments. In this work, we focus…
Realistic Data Generation for 6D Pose Estimation of Surgical Instruments
Juan Antonio Barragan, Jintan Zhang, Haoying Zhou +2
Automation in surgical robotics has the potential to improve patient safety and surgical efficiency, but it is difficult to achieve due to the need for robust perception algorithms…
SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking
Jin Wu, Haoying Zhou, Peter Kazanzides +2
Despite advancements in robotic-assisted surgery, automating complex tasks like suturing remain challenging due to the need for adaptability and precision. Learning-based approache…