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🔍 michael rabbat 📂 Engineering
Showing 58 results for "michael rabbat" in Engineering
Engineering Preprint PDF DOI

Large elements and advanced beamformers for increased field of view in 2-D ultrasound matrix arrays

Mick Gardner, Michael L. Oelze · 2026

Three-dimensional (3D) ultrasound promises various medical applications for abdominal, obstetrics, and breast imaging. However, ultrasound matrix arrays have extremely high element counts limiting the…

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Engineering Preprint PDF DOI

Real-time topology-aware M-mode OCT segmentation for robotic deep anterior lamellar keratoplasty (DALK) guidance

Rosalinda Xiong, Jinglun Yu, Yaning Wang, Ziyi Huang, Jin U. Kang · 2026

Robotic deep anterior lamellar keratoplasty (DALK) requires accurate real time depth feedback to approach Descemet's membrane (DM) without perforation. M-mode intraoperative optical coherence tomograp…

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Engineering Preprint PDF DOI

Meta-Learning Based Radio Frequency Fingerprinting for GNSS Spoofing Detection

Leatile Marata, Juhani Sankari, Eslam Eldeeb, Mikko Valkama, Elena Simona Lohan · 2025

The rapid development of technology has led to an increase in the number of devices that rely on position, velocity, and time (PVT) information to perform their functions. As such, the Global Navigati…

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Engineering Preprint PDF DOI

Investigating the Potential of Multi-Stage Score Fusion in Spoofing-Aware Speaker Verification

Oguzhan Kurnaz, Tomi Kinnunen, Cemal Hanilci · 2025

Despite improvements in automatic speaker verification (ASV), vulnerability against spoofing attacks remains a major concern. In this study, we investigate the integration of ASV and countermeasure (C…

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Engineering Preprint PDF DOI

Impact of Transceiver Selection on Synchronization Accuracy in White Rabbit Networks

Michal Spacek, Josef Vojtech, Jaroslav Roztocil · 2025

Achieving optimal synchronization accuracy between two White Rabbit devices hinges on the proper selection of transceivers, which act as electro-optical converters connecting WR devices to the optical…

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Engineering Preprint PDF DOI

Adaptive Finite State Projection with Quantile-Based Pruning for Solving the Chemical Master Equation

Aditya Dendukuri, Linda Petzold · 2025

We present an adaptive Finite State Projection (FSP) method for efficiently solving the Chemical Master Equation (CME) with rigorous error control. Our approach integrates time-stepping with dynamic s…

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Engineering Preprint PDF DOI

Enhanced Acoustic Beamforming with Sub-Aperture Angular Multiply and Sum -- in vivo and in Human Demonstration

Matthieu Toulemonde, Cameron A. B. Smith, Kai Riemer, Priya Palanisamy, Jaideep Singh Rait, Laura Taylor, Peter D. Weinberg, Karina Cox, Meng-Xing Tang · 2025

Power Doppler ultrasound is in widespread clinical use for non-invasive vascular imaging but the most common current method - Delay and Sum (DAS) beamforming - suffers from limited resolution and high…

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Engineering Preprint PDF DOI

Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data

J. Yu, H. Yi, Y. Wang, J. D. Opfermann, W. G. Gensheimer, A. Krieger, J. U. Kang · 2025

Deep Anterior Lamellar Keratoplasty (DALK) is a partial-thickness corneal transplant procedure used to treat corneal stromal diseases. A crucial step in this procedure is the precise separation of the…

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Engineering Preprint PDF DOI

Detecting Neurocognitive Disorders through Analyses of Topic Evolution and Cross-modal Consistency in Visual-Stimulated Narratives

Jinchao Li, Yuejiao Wang, Junan Li, Jiawen Kang, Bo Zheng, Ka Ho Wong, Brian Mak, Helene H. Fung, Jean Woo, Man-Wai Mak, Timothy Kwok, Vincent Mok, Xianmin Gong, Xixin Wu, Xunying Liu, Patrick C. M. Wong, Helen Meng · 2025

Early detection of neurocognitive disorders (NCDs) is crucial for timely intervention and disease management. Given that language impairments manifest early in NCD progression, visual-stimulated narra…

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Engineering Preprint PDF DOI

Reimagining partial thickness keratoplasty: An eye mountable robot for autonomous big bubble needle insertion

Y. Wang, J.D. Opfermann, J. Yu, H. Yi, J. Kaluna, R. Biswas, R. Zuo, W. Gensheimer, A. Krieger, J. U. Kang · 2024

Autonomous surgical robots have demonstrated significant potential to standardize surgical outcomes, driving innovations that enhance safety and consistency regardless of individual surgeon experience…

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Engineering Preprint PDF DOI

The Indirect Method for Generating Libraries of Optimal Periodic Trajectories and Its Application to Economical Bipedal Walking

Maximilian Raff, Kathrin Fla{ss}kamp, C. David Remy · 2024

Trajectory optimization is an essential tool for generating efficient, dynamically consistent gaits in legged locomotion. This paper explores the indirect method of trajectory optimization, emphasizin…

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Engineering Preprint PDF DOI

Multi-Domain Data Aggregation for Axon and Myelin Segmentation in Histology Images

Armand Collin, Arthur Boschet, Mathieu Boudreau, Julien Cohen-Adad · 2024

Quantifying axon and myelin properties (e.g., axon diameter, myelin thickness, g-ratio) in histology images can provide useful information about microstructural changes caused by neurodegenerative dis…

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Engineering Preprint PDF DOI

RobocupGym: A challenging continuous control benchmark in Robocup

Michael Beukman, Branden Ingram, Geraud Nangue Tasse, Benjamin Rosman, Pravesh Ranchod · 2024

Reinforcement learning (RL) has progressed substantially over the past decade, with much of this progress being driven by benchmarks. Many benchmarks are focused on video or board games, and a large n…

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Engineering Preprint PDF DOI

Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach

Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K Ramasubramanian · 2024

This study presents a novel methodology incorporating safety constraints into a robotic simulation during the training of deep reinforcement learning (DRL). The framework integrates specific parts of …

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Engineering Preprint PDF DOI

Classifying active and inactive states of growing rabbits from accelerometer data using machine learning algorithms

Monica Mora (IRTA), Lucile Riaboff (GenPhySE, INRAE, UCD), Ingrid David (GenPhySE), Juan Pablo Sanchez (IRTA), Miriam Piles (IRTA) · 2024

This study explores how wearable accelerometers, small devices that measure acceleration, can help monitor the activity of growing rabbits. We equipped 16 rabbits with these devices and filmed them fo…

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Engineering Preprint PDF DOI

Repeatable and Reliable Efforts of Accelerated Risk Assessment in Robot Testing

Linda Capito, Guillermo A. Castillo, Bowen Weng · 2024

Risk assessment of a robot in controlled environments, such as laboratories and proving grounds, is a common means to assess, certify, validate, verify, and characterize the robots' safety performance…

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Engineering Preprint PDF DOI

RABBIT: A Robot-Assisted Bed Bathing System with Multimodal Perception and Integrated Compliance

Rishabh Madan, Skyler Valdez, David Kim, Sujie Fang, Luoyan Zhong, Diego Virtue, Tapomayukh Bhattacharjee · 2024

This paper introduces RABBIT, a novel robot-assisted bed bathing system designed to address the growing need for assistive technologies in personal hygiene tasks. It combines multimodal perception and…

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Engineering Preprint PDF DOI

Balancing Priorities in Patrolling with Rabbit Walks

Rugved Katole, Deepak Mallya, Leena Vachhani, Arpita Sinha · 2023

In an environment with certain locations of higher priority, it is required to patrol these locations as frequently as possible due to their importance. However, the Non-Priority locations are often n…

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Engineering Preprint PDF DOI

Template Model Inspired Task Space Learning for Robust Bipedal Locomotion

Guillermo A. Castillo, Bowen Weng, Shunpeng Yang, Wei Zhang, Ayonga Hereid · 2023

This work presents a hierarchical framework for bipedal locomotion that combines a Reinforcement Learning (RL)-based high-level (HL) planner policy for the online generation of task space commands wit…

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Engineering Preprint PDF DOI

Wireless Network Demands of Data Products from Small Uncrewed Aerial Systems at Hurricane Ian

Thomas Manzini, Robin Murphy, David Merrick, Justin Adams · 2023

Data collected at Hurricane Ian (2022) quantifies the demands that small uncrewed aerial systems (UAS), or drones, place on the network communication infrastructure and identifies gaps in the field. D…

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