Expertini Research Research

Browse Research Papers

226+ open-access research outputs.

✕ Clear
🔍 m.m. murphy 📂 Engineering 📄 Preprint
Showing 226 results for "m.m. murphy" in Engineering · Preprint
Engineering Preprint PDF DOI

Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies

Baktash Behmanesh, Ahmad Rezvanitabar · 2026

This paper provides a concise yet comprehensive review of recent advancements in millimeter-wave (mm-wave) oscillators below 100 GHz and sub-terahertz (sub-THz/THz) oscillators above 100 GHz for next-…

Read Paper →
Engineering Preprint PDF DOI

Learnable Template Matching Approach for Micro-Deformation Monitoring based on Integrated Sensing and Communication Platform

Zhuoyang Liu, Yixiang Luomei, Feng Xu · 2026

Existing integrated sensing and communication (ISAC) platforms fail to fully utilize the shared spectrum and aperture resources for sensing, resulting in poor sensing performance. Specifically, weak t…

Read Paper →
Engineering Preprint PDF DOI

Set-Membership Localization via Range Measurements

Giuseppe C. Calafiore · 2026

In this paper we discuss a classical geometrical problem of estimating an unknown point's location in $\Real{n}$ from several noisy measurements of the Euclidean distances from this point to a set of …

Read Paper →
Engineering Preprint PDF DOI

MEM: Multi-Scale Embodied Memory for Vision Language Action Models

Marcel Torne, Karl Pertsch, Homer Walke, Kyle Vedder, Suraj Nair, Brian Ichter, Allen Z. Ren, Haohuan Wang, Jiaming Tang, Kyle Stachowicz, Karan Dhabalia, Michael Equi, Quan Vuong, Jost Tobias Springenberg, Sergey Levine, Chelsea Finn, Danny Driess · 2026

Conventionally, memory in end-to-end robotic learning involves inputting a sequence of past observations into the learned policy. However, in complex multi-stage real-world tasks, the robot's memory m…

Read Paper →
Engineering Preprint PDF DOI

RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design

Tianxing Chen, Yuran Wang, Mingleyang Li, Yan Qin, Hao Shi, Zixuan Li, Yifan Hu, Yingsheng Zhang, Kaixuan Wang, Yue Chen, Hongcheng Wang, Renjing Xu, Ruihai Wu, Yao Mu, Yaodong Yang, Hao Dong, Ping Luo · 2026

Robotic manipulation policies have made rapid progress in recent years, yet most existing approaches give limited consideration to memory capabilities. Consequently, they struggle to solve tasks that …

Read Paper →
Engineering Preprint PDF DOI

MDM-ASR: Bridging Accuracy and Efficiency in ASR with Diffusion-Based Non-Autoregressive Decoding

Hao Yen, Pin-Jui Ku, Ante Jukic, Sabato Marco Siniscalchi · 2026

In sequence-to-sequence Transformer ASR, autoregressive (AR) models achieve strong accuracy but suffer from slow decoding, while non-autoregressive (NAR) models enable parallel decoding at the cost of…

Read Paper →
Engineering Preprint PDF DOI

MORPH Wheel: A Passive Variable-Radius Wheel Embedding Mechanical Behavior Logic for Input-Responsive Transformation

JaeHyung Jang, JuYeong Seo, Dae-Young Lee, Jee-Hwan Ryu · 2026

This paper introduces the Mechacnially prOgrammed Radius-adjustable PHysical (MORPH) wheel, a fully passive variable-radius wheel that embeds mechanical behavior logic for torque-responsive transforma…

Read Paper →
Engineering Preprint PDF DOI

EMPM: Embodied MPM for Modeling and Simulation of Deformable Objects

Yunuo Chen, Yafei Hu, Lingfeng Sun, Tushar Kusnur, Laura Herlant, Chenfanfu Jiang · 2026

Modeling deformable objects - especially continuum materials - in a way that is physically plausible, generalizable, and data-efficient remains challenging across 3D vision, graphics, and robotic mani…

Read Paper →
Engineering Preprint PDF DOI

InsSo3D: Inertial Navigation System and 3D Sonar SLAM for turbid environment inspection

Simon Archieri, Ahmet Cinar, Shu Pan, Jonatan Scharff Willners, Michele Grimaldi, Ignacio Carlucho, Yvan Petillot · 2026

This paper presents InsSo3D, an accurate and efficient method for large-scale 3D Simultaneous Localisation and Mapping (SLAM) using a 3D Sonar and an Inertial Navigation System (INS). Unlike tradition…

Read Paper →
Engineering Preprint PDF DOI

Optimizing the 4G--5G Migration: A Simulation-Driven Roadmap for Emerging Markets

Desire Guel, Justin Pegd-Winde Kouraogo, Kouka Kouakou Nakoulma · 2025

Deploying fifth-generation (5G) networks in emerging markets demands a balance between performance targets and constraints in budget, spectrum, and infrastructure. We use MATLAB simulations to quantif…

Read Paper →
Engineering Preprint PDF DOI

MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression

Kai-Hsiang Hsieh, Monyneath Yim, Wen-Hsiao Peng, Jui-Chiu Chiang · 2025

Joint compression of point cloud geometry and attributes is essential for efficient 3D data representation. Existing methods often rely on post-hoc recoloring procedures and manually tuned bitrate all…

Read Paper →
Engineering Preprint PDF DOI

Pipeline Stage Resolved Timing Characterization of FPGA and ASIC Implementations of a RISC V Processor

Mostafa Darvishi · 2025

This paper presents a pipeline stage resolved timing characterization of a 32-bit RISC V processor implemented on a 20 nm FPGA and a 7 nm FinFET ASIC platform. A unified analysis framework is introduc…

Read Paper →
Engineering Preprint PDF DOI

Unifying Quadrotor Motion Planning and Control by Chaining Different Fidelity Models

Rudolf Reiter, Chao Qin, Leonard Bauersfeld, Davide Scaramuzza · 2025

Many aerial tasks involving quadrotors demand both instant reactivity and long-horizon planning. High-fidelity models enable accurate control but are too slow for long horizons; low-fidelity planners …

Read Paper →
Engineering Preprint PDF DOI

Learning to Get Up Across Morphologies: Zero-Shot Recovery with a Unified Humanoid Policy

Jonathan Spraggett · 2025

Fall recovery is a critical skill for humanoid robots in dynamic environments such as RoboCup, where prolonged downtime often decides the match. Recent techniques using deep reinforcement learning (DR…

Read Paper →
Engineering Preprint PDF DOI

Occlusion-Aware Multi-Object Tracking via Expected Probability of Detection

Jan Krejci, Oliver Kost, Yuxuan Xia, Lennart Svensson, Ondrej Straka · 2025

This paper addresses multi-object systems, where objects may occlude one another relative to the sensor. The standard point-object model for detection-based sensors is enhanced so that the probability…

Read Paper →
Engineering Preprint PDF DOI

Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective

Nhat Chung, Taisei Hanyu, Toan Nguyen, Huy Le, Frederick Bumgarner, Duy Minh Ho Nguyen, Khoa Vo, Kashu Yamazaki, Chase Rainwater, Tung Kieu, Anh Nguyen, Ngan Le · 2025

As embodied agents operate in increasingly complex environments, the ability to perceive, track, and reason about individual object instances over time becomes essential, especially in tasks requiring…

Read Paper →
Engineering Preprint PDF DOI

Morpho-Genomic Deep Learning for Ovarian Cancer Subtype and Gene Mutation Prediction from Histopathology

Gabriela Fernandes · 2025

Ovarian cancer remains one of the most lethal gynecological malignancies, largely due to late diagnosis and extensive heterogeneity across subtypes. Current diagnostic methods are limited in their abi…

Read Paper →
Engineering Preprint PDF DOI

Lightweight ResNet-Based Deep Learning for Photoplethysmography Signal Quality Assessment

Yangyang Zhao, Matti Kaisti, Olli Lahdenoja, Jonas Sandelin, Arman Anzanpour, Joonas Lehto, Joel Nuotio, Jussi Jaakkola, Arto Relander, Tuija Vasankari, Juhani Airaksinen, Tuomas Kiviniemi, Tero Koivisto · 2025

With the growing application of deep learning in wearable devices, lightweight and efficient models are critical to address the computational constraints in resource-limited platforms. The performance…

Read Paper →
Engineering Preprint PDF DOI

Efficient Medium Access Control for Low-Latency Industrial M2M Communications

Anwar Ahmed Khan, Indrakshi Dey · 2025

Efficient medium access control (MAC) is critical for enabling low-latency and reliable communication in industrial Machine-to-Machine (M2M) net-works, where timely data delivery is essential for seam…

Read Paper →
Engineering Preprint PDF DOI

Kinaema: a recurrent sequence model for memory and pose in motion

Mert Bulent Sariyildiz, Philippe Weinzaepfel, Guillaume Bono, Gianluca Monaci, Christian Wolf · 2025

One key aspect of spatially aware robots is the ability to "find their bearings", ie. to correctly situate themselves in previously seen spaces. In this work, we focus on this particular scenario of c…

Read Paper →
Page 1 of 12 Next →