activity
20182025
most citedTowards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control

8 citations · 20 across the 21 of their papers we have counts for

collaborators

35 papers

cs.RO2025

A Deep Learning-Driven Autonomous System for Retinal Vein Cannulation: Validation Using a Chicken Embryo Model

Yi Wang, Peiyao Zhang, Mojtaba Esfandiari +2

Retinal vein cannulation (RVC) is a minimally invasive microsurgical procedure for treating retinal vein occlusion (RVO), a leading cause of vision impairment. However, the small s…

cs.RO20252 cited

Deep Learning-Enhanced Robotic Subretinal Injection with Real-Time Retinal Motion Compensation

Tianle Wu, Mojtaba Esfandiari, Peiyao Zhang +3

Subretinal injection is a critical procedure for delivering therapeutic agents to treat retinal diseases such as age-related macular degeneration (AMD). However, retinal motion cau…

cs.RO2025

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…

cs.RO20251 cited

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…

cs.RO2024

A Feasible Workflow for Retinal Vein Cannulation in Ex Vivo Porcine Eyes with Robotic Assistance

Peiyao Zhang, Peter Gehlbach, Marin Kobilarov +1

A potential Retinal Vein Occlusion (RVO) treatment involves Retinal Vein Cannulation (RVC), which requires the surgeon to insert a microneedle into the affected retinal vein and ad…

cs.RO20242 cited

Minimally Invasive Flexible Needle Manipulation Based on Finite Element Simulation and Cross Entropy Method

Yanzhou Wang, Chang Chang, Junling Mei +2

We present a novel approach for minimally invasive flexible needle manipulations by pairing a real-time finite element simulator with the cross-entropy method. Additionally, we dem…