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Adnan Munawar

18 accepted papers

2025

A Da Vinci Open Spina Bifida Suturing Simulator with Continuum Tools for Surgeon Skills Training

IROS 2025

Open Spina Bifida (OSB) is a congenital neural tube defect that affects approximately 1 in 1000 births worldwide. Robotic in-utero OSB repair provides a minimally invasive alternative to open-surgery, which places significant strain on both baby and mother. Recent advancements in da Vinci miniature

Cited by 0SourceScholar
2024

Admittance Switching for Stability and Transparency in Human-Robot Collaborative Microsurgery

RA-L 2024

The Galen Surgical Robot is an admittance controlled collaborative robot that can enhance the performance of surgeons in microsurgery by sharing the load of instruments, preventing hand tremor and improving precision. In mastoidectomy, contacting the temporal bone of the skull and drilling with the

Cited by 5SourceScholar
2024

Haptic-Assisted Collaborative Robot Framework for Improved Situational Awareness in Skull Base Surgery

ICRA 2024poster

Skull base surgery is a demanding field in which surgeons operate in and around the skull while avoiding critical anatomical structures including nerves and vasculature. While image-guided surgical navigation is the prevailing standard, limitation still exists requiring personalized planning and rec…

Cited by 5SourceScholar
2024

Realistic Data Generation for 6D Pose Estimation of Surgical Instruments

ICRA 2024poster

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. In particular, 6D pose estimation of surgical instruments is critical to enable the automatic execution of surgical ma…

Cited by 6SourcecodeScholar
2024

SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking

NeurIPS 2024poster

Despite advancements in robotic-assisted surgery, automating complex tasks like suturing remains challenging due to the need for adaptability and precision. Learning-based approaches, particularly reinforcement learning (RL) and imitation learning (IL), require realistic simulation environments for…

Cited by 0SourcecodeScholar
2023

Improving Surgical Situational Awareness with Signed Distance Field: A Pilot Study in Virtual Reality

IROS 2023poster

The introduction of image-guided surgical navigation (IGSN) has greatly benefited technically demanding surgical procedures by providing real-time support and guidance to the surgeon during surgery. To develop effective IGSN, a careful selection of the surgical information and the medium to present…

Cited by 5SourceScholar
2023

Semi-Autonomous Assistance for Telesurgery Under Communication Loss

IROS 2023poster

Telesurgery has a clear potential for providing high-quality surgery to medically underserved areas like rural areas, battlefields, and spacecraft; nevertheless, effective methods to overcome unreliable communication systems are still lacking. Furthermore, it is not well understood how users react a…

Cited by 1SourceScholar
2022

Human-Robot Shared Control for Surgical Robot Based on Context-Aware Sim-to-Real Adaptation

ICRA 2022poster

Human-robot shared control, which integrates the advantages of both humans and robots, is an effective approach to facilitate efficient surgical operation. Learning from demonstration (LfD) techniques can be used to automate some of the surgical sub tasks for the construction of the shared control m…

Cited by 43SourceScholar
2022

Open Simulation Environment for Learning and Practice of Robot-Assisted Surgical Suturing

RA-L 2022

Automation has the potential to improve the standard of care but is difficult to realize due to perceptual challenges, especially in soft-tissue surgery. Machine learning can provide solutions, but typically requires large amounts of training data, which is time-consuming to collect. Even with share

Cited by 41SourceScholar
2021

A Framework for Customizable Multi-User Teleoperated Control

RA-L 2021

Traditional teleoperation (leader/follower) systems primarily focus on one operator controlling one remote robot, but as robots become ubiquitous, there is an increasing need for multiple operators, including autonomous agents, to collaboratively control multiple robots. However, existing teleoperat

Cited by 8SourceScholar
2020

A Parametric Grasping Methodology for Multi-Manual Interactions in Real-Time Dynamic Simulations

ICRA 2020poster

Interactive simulators are used in several important applications which include the training simulators for teleoperated robotic laparoscopic surgery. While stateof-art simulators are capable of rendering realistic visuals and accurate dynamics, grasping is often implemented using kinematic simplifi…

Cited by 1SourceScholar
2020

An Open-Source Framework for Rapid Development of Interactive Soft-Body Simulations for Real-Time Training

ICRA 2020poster

We present an open-source framework that provides a low barrier to entry for real-time simulation, visualization, and interactive manipulation of user-specifiable soft-bodies, environments, and robots (using a human-readable front-end interface). The simulated soft-bodies can be interacted by a vari…

Cited by 17SourceScholar
2020

Supervised Semi-Autonomous Control for Surgical Robot Based on Banoian Optimization

IROS 2020poster

The recent development of Robot-Assisted Minimally Invasive Surgery (RAMIS) has brought much benefit to ease the performance of complex Minimally Invasive Surgery (MIS) tasks and lead to more clinical outcomes. Compared to direct master-slave manipulation, semi-autonomous control for the surgical ro…

Cited by 37SourceScholar
2019

A Convex Optimization-Based Dynamic Model Identification Package for the da Vinci Research Kit

RA-L 2019

The da Vinci Research Kit (dVRK) is a teleoperated surgical robotic system. For dynamic simulations and model-based control, the dynamic model of the dVRK is required. We present an open-source dynamic model identification package for the dVRK, capable of modeling the parallelograms, springs, counte

Cited by 55SourceScholar
2019

A Real-Time Dynamic Simulator and an Associated Front-End Representation Format for Simulating Complex Robots and Environments

IROS 2019poster

Robot Dynamic Simulators offer convenient implementation and testing of physical robots, thus accelerating research and development. While existing simulators support most real-world robots with serially linked kinematic and dynamic chains, they offer limited or conditional support for complex close…

Cited by 67SourceScholar
2019

An Asynchronous Multi-Body Simulation Framework for Real-Time Dynamics, Haptics and Learning with Application to Surgical Robots

IROS 2019poster

Surgical robots for laparoscopy consist of several patient side slave manipulators that are controlled via surgeon operated master telemanipulators. Commercial surgical robots do not perform any sub-tasks - even of repetitive or noninvasive nature - autonomously or provide intelligent assistance. Wh…

Cited by 22SourceScholar
2016

Towards a haptic feedback framework for multi-DOF robotic laparoscopic surgery platforms

IROS 2016poster

The use of robotics for laparoscopic surgery has been an established field for over a decade. However, with the influx of advanced tools and algorithms for general purpose robotics, there is a need to incorporate these advancements into medical robotics technology. The daVinci Research Kit and its s…

Cited by 17SourceScholar