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๐Ÿ” computing methodologies ๐Ÿ“‚ Engineering
Showing 7833 results for "computing methodologies" in Engineering
Engineering Preprint PDF DOI

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges

Zezeng Li, Alexandre Chapin, Enda Xiang, Rui Yang, Bruno Machado, Na Lei, Emmanuel Dellandrea, Di Huang, Liming Chen ยท 2025

Robotic Manipulation (RM) is central to the advancement of autonomous robots, enabling them to interact with and manipulate objects in real-world environments. This survey focuses on RM methodologies โ€ฆ

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Engineering Preprint PDF DOI

Modular electronic microrobots with on board sensor-program steered locomotion

Vineeth K. Bandari, Yeji Lee, Pranathi Adluri, Daniil Karnaushenko, Dmitriy D.Karnaushenko, John S. McCaskill, Oliver G. Schmidt ยท 2025

True microrobots, in contrast with externally controlled microparticles, must harvest or carry their own source of energy, as well as their own (preferably programmable) microcontroller of actuators fโ€ฆ

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Engineering Preprint PDF DOI

Localization using Angle-of-Arrival Triangulation

Amod K. Agrawal ยท 2025

Indoor localization is a long-standing challenge in mobile computing, with significant implications for enabling location-aware and intelligent applications within smart environments such as homes, ofโ€ฆ

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Engineering Preprint PDF DOI

Autonomous UAV Flight Navigation in Confined Spaces: A Reinforcement Learning Approach

Marco S. Tayar, Lucas K. de Oliveira, Felipe Andrade G. Tommaselli, Juliano D. Negri, Thiago H. Segreto, Ricardo V. Godoy, Marcelo Becker ยท 2025

Autonomous UAV inspection of confined industrial infrastructure, such as ventilation ducts, demands robust navigation policies where collisions are unacceptable. While Deep Reinforcement Learning (DRLโ€ฆ

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Engineering Preprint PDF DOI

A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth Competition

Victor-Louis De Gusseme, Thomas Lips, Remko Proesmans, Julius Hietala, Giwan Lee, Jiyoung Choi, Jeongil Choi, Geon Kim, Phayuth Yonrith, Domen Tabernik, Andrej Gams, Peter Nimac, Matej Urbas, Jon Muhovic, Danijel Skocaj, Matija Mavsar, Hyojeong Yu, Minseo Kwon, Young J. Kim, Yang Cong, Ronghan Chen, Yu Ren, Supeng Diao, Jiawei Weng, Jiayue Liu, Haoran Sun, Linhan Yang, Zeqing Zhang, Ning Guo, Lei Yang, Fang Wan, Chaoyang Song, Jia Pan, Yixiang Jin, Yong A, Jun Shi, Dingzhe Li, Yong Yang, Kakeru Yamasaki, Takumi Kajiwara, Yuki Nakadera, Krati Saxena, Tomohiro Shibata, Chongkun Xia, Kai Mo, Yanzhao Yu, Qihao Lin, Binqiang Ma, Uihun Sagong, JungHyun Choi, JeongHyun Park, Dongwoo Lee, Yeongmin Kim, Myun Joong Hwang, Yusuke Kuribayashi, Naoki Hiratsuka, Daisuke Tanaka, Solvi Arnold, Kimitoshi Yamazaki, Carlos Mateo-Agullo, Andreas Verleysen, Francis Wyffels ยท 2025

Robotic cloth manipulation suffers from a lack of standardized benchmarks and shared datasets for evaluating and comparing different approaches. To address this, we created a benchmark and organized tโ€ฆ

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Engineering Preprint PDF DOI

Wide-Area Power System Oscillations from Large-Scale AI Workloads

Min-Seung Ko, Hao Zhu ยท 2025

This paper develops a new dynamic power profiling approach for modeling AI-centric datacenter loads and analyzing their impact on grid operations, particularly their potential to induce wide-area gridโ€ฆ

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Engineering Preprint PDF DOI

Sentiment-Aware Mean-Variance Portfolio Optimization for Cryptocurrencies

Qizhao Chen ยท 2025

Cryptocurrency markets are highly volatile and influenced by both price trends and market sentiment, making effective portfolio management challenging. This paper proposes a dynamic cryptocurrency porโ€ฆ

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Engineering Preprint PDF DOI

QUEENS: An Open-Source Python Framework for Solver-Independent Analyses of Large-Scale Computational Models

Jonas Biehler, Jonas Nitzler, Sebastian Brandstaeter, Maximilian Dinkel, Volker Gravemeier, Lea J. Haeusel, Gil Robalo Rei, Harald Willmann, Barbara Wirthl, Wolfgang A. Wall ยท 2025

A growing challenge in research and industrial engineering applications is the need for repeated, systematic analysis of large-scale computational models, for example, patient-specific digital twins oโ€ฆ

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A Joint Delay-Energy-Security Aware Framework for Intelligent Task Scheduling in Satellite-Terrestrial Edge Computing Network

Ting You, Yuhao Zheng, Kejia Peng, Chang Liu ยท 2025

In this paper, we propose a two-stage optimization framework for secure task scheduling in satellite-terrestrial edge computing networks (STECNs). The framework jointly considers secure user associatiโ€ฆ

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Engineering Preprint PDF DOI

Flight of Dynamic Targeting on the CogniSAT-6 Spacecraft

Steve Chien, Itai Zilberstein, Alberto Candela, David Rijlaarsdam, Tom Hendrix, Aubrey Dunne, Aragon Oriol, Miquel Juan Puig ยท 2025

Dynamic targeting (DT) is a spacecraft autonomy concept in which sensor data is acquired and rapidly analyzed and used to drive subsequent observation. We describe the low Earth orbit application of tโ€ฆ

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Engineering Preprint PDF DOI

Label Uncertainty for Ultrasound Segmentation

Malini Shivaram, Gautam Rajendrakumar Gare, Laura Hutchins, Jacob Duplantis, Thomas Deiss, Thales Nogueira Gomes, Thong Tran, Keyur H. Patel, Thomas H Fox, Amita Krishnan, Deva Ramanan, Bennett DeBoisblanc, Ricardo Rodriguez, John Galeotti ยท 2025

In medical imaging, inter-observer variability among radiologists often introduces label uncertainty, particularly in modalities where visual interpretation is subjective. Lung ultrasound (LUS) is a pโ€ฆ

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Engineering Preprint PDF DOI

Sensing, Social, and Motion Intelligence in Embodied Navigation: A Comprehensive Survey

Chaoran Xiong, Yulong Huang, Fangwen Yu, Changhao Chen, Yue Wang, Songpengchen Xia, Ling Pei ยท 2025

Embodied navigation (EN) advances traditional navigation by enabling robots to perform complex egocentric tasks through sensing, social, and motion intelligence. In contrast to classic methodologies tโ€ฆ

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Engineering Preprint PDF DOI

PRREACH: Probabilistic Risk Assessment Using Reachability for UAV Control

Nicole Fronda, Hariharan Narayanan, Sadia Afrin Ananna, Steven Weber, Houssam Abbas ยท 2025

We present a new approach for designing risk-bounded controllers for Uncrewed Aerial Vehicles (UAVs). Existing frameworks for assessing risk of UAV operations rely on knowing the conditional probabiliโ€ฆ

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FiReFly: Fair Distributed Receding Horizon Planning for Multiple UAVs

Nicole Fronda, Bardh Hoxha, Houssam Abbas ยท 2025

We propose injecting notions of fairness into multi-robot motion planning. When robots have competing interests, it is important to optimize for some kind of fairness in their usage of resources. In tโ€ฆ

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Fair-CoPlan: Negotiated Flight Planning with Fair Deconfliction for Urban Air Mobility

Nicole Fronda, Phil Smith, Bardh Hoxha, Yash Pant, Houssam Abbas ยท 2025

Urban Air Mobility (UAM) is an emerging transportation paradigm in which Uncrewed Aerial Systems (UAS) autonomously transport passengers and goods in cities. The UAS have different operators with diffโ€ฆ

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Engineering Preprint PDF DOI

Learning to See Through Flare

Xiaopeng Peng, Heath Gemar, Erin Fleet, Kyle Novak, Abbie Watnik, Grover Swartzlander ยท 2025

Machine vision systems are susceptible to laser flare, where unwanted intense laser illumination blinds and distorts its perception of the environment through oversaturation or permanent damage to senโ€ฆ

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Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-Contrast Images

Sebastian Ibarra, Javier del Riego, Alessandro Catanese, Julian Cuba, Julian Cardona, Nataly Leon, Jonathan Infante, Karim Lekadir, Oliver Diaz, Richard Osuala ยท 2025

Dynamic contrast-enhanced (DCE) MRI is essential for breast cancer diagnosis and treatment. However, its reliance on contrast agents introduces safety concerns, contraindications, increased cost, and โ€ฆ

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Automated surgical planning with nnU-Net: delineation of the anatomy in hepatobiliary phase MRI

Karin A. Olthof, Matteo Fusagli, Bianca Guttner, Tiziano Natali, Bram Westerink, Stefanie Speidel, Theo J.M. Ruers, Koert F.D. Kuhlmann, Andrey Zhylka ยท 2025

Background: The aim of this study was to develop and evaluate a deep learning-based automated segmentation method for hepatic anatomy (i.e., parenchyma, tumors, portal vein, hepatic vein and biliary tโ€ฆ

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Engineering Preprint PDF DOI

EmoSLLM: Parameter-Efficient Adaptation of LLMs for Speech Emotion Recognition

Hugo Thimonier, Antony Perzo, Renaud Seguier ยท 2025

Emotion recognition from speech is a challenging task that requires capturing both linguistic and paralinguistic cues, with critical applications in human-computer interaction and mental health monitoโ€ฆ

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Engineering Preprint PDF DOI

Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms

Rohan Chandra, Shubham Singh, Wenhao Luo, Katia Sycara ยท 2025

The "Last Mile Challenge" has long been considered an important, yet unsolved, challenge for autonomous vehicles, public service robots, and delivery robots. A central issue in this challenge is the aโ€ฆ

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