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Gregory S Fischer

15 accepted papers

2024

A Hybrid Model and Learning-Based Force Estimation Framework for Surgical Robots

IROS 2024poster

Haptic feedback to the surgeon during robotic surgery would enable safer and more immersive surgeries but estimating tissue interaction forces at the tips of robotically controlled surgical instruments has proven challenging. Few existing surgical robots can measure interaction forces directly and t…

Cited by 3SourcecodeScholar
2024

Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance

IROS 2024poster

3D point clouds enhanced the robot’s ability to perceive the geometrical information of the environments, making it possible for many downstream tasks such as grasp pose detection and scene understanding. The performance of these tasks, though, heavily relies on the quality of data input, as incompl…

Cited by 1SourcecodeScholar
2023

Design and Evaluation of Bidirectional Continuous Rotation and Variable Curvature Needle Steering Algorithm

IROS 2023poster

The success rate of robotic-assisted needle-guided interventions for applications such as tissue biopsy and targeted drug delivery relies heavily on the accuracy of the needle placement. Tissue shift and needle tip deflection due to needle-tissue interaction are some factors that can adversely affec…

Cited by 3SourceScholar
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
2018

Design Criteria for Hand Exoskeletons: Measurement of Forces Needed to Assist Finger Extension in Traumatic Brain Injury Patients

RA-L 2018

The development of powered hand orthoses and exoskeletons for treatment of chronic motor deficits due to stroke, traumatic brain injury, and cerebral palsy has been widely explored by the robotics engineering community. The conditions arising from these disorders take several forms and clinical desc

Cited by 17SourceScholar
2017

Mechanical validation of an MRI compatible stereotactic neurosurgery robot in preparation for pre-clinical trials

IROS 2017poster

The use of magnetic resonance imaging (MRI) for guiding robotic surgical devices has shown great potential for performing precisely targeted and controlled interventions. To fully realize these benefits, devices must work safely within the tight confines of the MRI bore without negatively impacting…

Cited by 58SourceScholar
2016

Design and Characterization of a Lightweight and Fully Portable Remote Actuation System for Use With a Hand Exoskeleton

RA-L 2016

Enabling individuals who are living with reduced mobility of the hand to utilize portable exoskeletons at home has the potential to deliver rehabilitation therapies with a greater intensity and relevance to activities of daily living. Various hand exoskeleton designs have been explored in the past,

Cited by 130SourceScholar