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๐Ÿ” josh darosa ๐Ÿ“‚ Engineering
Showing 64 results for "josh darosa" in Engineering
Engineering Preprint PDF DOI

OpenPodcar2: a robust, ROS2 vehicle for self-driving research

Rakshit Soni, Chris Waltham, Md Umar Ibrahim, Mark Crampton, Charles Fox ยท 2026

OpenPodcar2 is a robust, ROS2-interfaced, low-cost, open source hardware and software, autonomous vehicle platform based on an off-the-shelf, hard-canopy, mobility scooter donor vehicle. It is a modifโ€ฆ

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Engineering Preprint PDF DOI

Improved GNSS Positioning in Urban Environments Using a Logistic Error Model

Zhengdao Li, Penggao Yan, Baoshan Song, Li-Ta Hsu ยท 2026

A Gaussian error assumption is commonly adopted in the pseudorange measurement model for global navigation satellite system (GNSS) positioning, which leads to the conventional least squares (LS) estimโ€ฆ

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Engineering Preprint PDF DOI

IROSA: Interactive Robot Skill Adaptation using Natural Language

Markus Knauer, Samuel Bustamante, Thomas Eiband, Alin Albu-Schaffer, Freek Stulp, Joao Silverio ยท 2026

Foundation models have demonstrated impressive capabilities across diverse domains, while imitation learning provides principled methods for robot skill adaptation from limited data. Combining these aโ€ฆ

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Engineering Preprint PDF DOI

AROLA: A Modular Layered Architecture for Scaled Autonomous Racing

Fam Shihata, Mohammed Abdelazim, Ahmed Hussein ยท 2026

Autonomous racing has advanced rapidly, particularly on scaled platforms, and software stacks must evolve accordingly. In this work, AROLA is introduced as a modular, layered software architecture in โ€ฆ

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Engineering Preprint PDF DOI

Deteccion de intrusiones en redes mediante algoritmos de aprendizaje automatico: Un estudio multiclase sobre el conjunto de datos NSL-KDD

Luis Miguel Osco Vasquez ยท 2025

Intrusion detection is a critical component of cybersecurity, responsible for identifying unauthorized access or anomalous behavior in computer networks. This paper presents a comprehensive study on iโ€ฆ

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Engineering Preprint PDF DOI

Exploring Urban Air Mobility Adoption Potential in San Francisco Bay Area Region: A Systems of Systems Level Case Study on Passenger Waiting Times and Travel Efficiency

Winfrey Paul Sagayam Dennis ยท 2025

Urban Air mobility has gained momentum with recent advancements in the electric vertical take-off and landing (eVTOL) vehicles, offering faster point-to-point air taxi services that could help relieveโ€ฆ

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Engineering Preprint PDF DOI

DARTS: A Drone-Based AI-Powered Real-Time Traffic Incident Detection System

Bai Li, Achilleas Kourtellis, Rong Cao, Joseph Post, Brian Porter, Yu Zhang ยท 2025

Rapid and reliable incident detection is critical for reducing crash-related fatalities, injuries, and congestion. However, conventional methods, such as closed-circuit television, dashcam footage, anโ€ฆ

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Engineering Preprint PDF DOI

The Economic Impact of DeFi Crime Events on Decentralized Autonomous Organizations (DAOs)

Stefan Kitzler, Masarah Paquet-Clouston, Bernhard Haslhofer ยท 2025

The Decentralized Finance (DeFi) ecosystem has experienced over \$10 billion in direct losses due to crime events. Beyond these immediate losses, such events often trigger broader market reactions, inโ€ฆ

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Engineering Preprint PDF DOI

Branched Broomrape Detection in Tomato Farms Using Satellite Imagery and Time-Series Analysis

Mohammadreza Narimani, Alireza Pourreza, Ali Moghimi, Parastoo Farajpoor, Hamid Jafarbiglu, Mohsen Mesgaran ยท 2025

Branched broomrape (Phelipanche ramosa (L.) Pomel) is a chlorophyll-deficient parasitic plant that threatens tomato production by extracting nutrients from the host, with reported yield losses up to 8โ€ฆ

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Engineering Preprint PDF DOI

Drone-Based Multispectral Imaging and Deep Learning for Timely Detection of Branched Broomrape in Tomato Farms

Mohammadreza Narimani, Alireza Pourreza, Ali Moghimi, Mohsen Mesgaran, Parastoo Farajpoor, Hamid Jafarbiglu ยท 2025

This study addresses the escalating threat of branched broomrape (Phelipanche ramosa) to California's tomato industry, which supplies over 90 percent of U.S. processing tomatoes. The parasite's largelโ€ฆ

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Engineering Preprint PDF DOI

OpenScout v1.1 mobile robot: a case study on open hardware continuation

Bartosz Krawczyk, Ahmed Elbary, Robbie Cato, Jagdish Patil, Kaung Myat, Anyeh Ndi-Tah, Nivetha Sakthivel, Mark Crampton, Gautham Das, Charles Fox ยท 2025

OpenScout is an Open Source Hardware (OSH) mobile robot for research and industry. It is extended to v1.1 which includes simplified, cheaper and more powerful onboard compute hardware; a simulated ROSโ€ฆ

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Engineering Preprint PDF DOI

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks

Viraj Joshi, Zifan Xu, Bo Liu, Peter Stone, Amy Zhang ยท 2025

Multi-task Reinforcement Learning (MTRL) has emerged as a critical training paradigm for applying reinforcement learning (RL) to a set of complex real-world robotic tasks, which demands a generalizablโ€ฆ

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Engineering Preprint PDF DOI

DARAS: Dynamic Audio-Room Acoustic Synthesis for Blind Room Impulse Response Estimation

Chunxi Wang, Maoshen Jia, Wenyu Jin ยท 2025

Room Impulse Responses (RIRs) accurately characterize acoustic properties of indoor environments and play a crucial role in applications such as speech enhancement, speech recognition, and audio rendeโ€ฆ

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Engineering Preprint PDF DOI

ROSA: Harnessing Robot States for Vision-Language and Action Alignment

Yuqing Wen, Kefan Gu, Haoxuan Liu, Yucheng Zhao, Tiancai Wang, Haoqiang Fan, Xiaoyan Sun ยท 2025

Vision-Language-Action (VLA) models have recently made significant advance in multi-task, end-to-end robotic control, due to the strong generalization capabilities of Vision-Language Models (VLMs). A โ€ฆ

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Engineering Preprint PDF DOI

Second Order State Hallucinations for Adversarial Attack Mitigation in Formation Control of Multi-Agent Systems

Laksh Patel, Akhilesh Raj ยท 2025

The increasing deployment of multi-agent systems (MAS) in critical infrastructures such as autonomous transportation, disaster relief, and smart cities demands robust formation control mechanisms resiโ€ฆ

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Engineering Preprint PDF DOI

A combined Machine Learning and Finite Element Modelling tool for the surgical planning of craniosynostosis correction

Itxasne Antunez Saenz, Ane Alberdi Aramendi, David Dunaway, Juling Ong, Lara Deliege, Amparo Saenz, Anita Ahmadi Birjandi, Noor UI Owase Jeelani, Silvia Schievano, Alessandro Borghi ยท 2025

Craniosynostosis is a medical condition that affects the growth of babies' heads, caused by an early fusion of cranial sutures. In recent decades, surgical treatments for craniosynostosis have signifiโ€ฆ

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Engineering Preprint PDF DOI

CaRoSaC: A Reinforcement Learning-Based Kinematic Control of Cable-Driven Parallel Robots by Addressing Cable Sag through Simulation

Rohit Dhakate, Thomas Jantos, Eren Allak, Stephan Weiss, Jan Steinbrener ยท 2025

This paper introduces the Cable Robot Simulation and Control (CaRoSaC) Framework, which integrates a simulation environment with a model-free reinforcement learning control methodology for suspended Cโ€ฆ

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Engineering Preprint PDF DOI

Threading the Needle: Test and Evaluation of Early Stage UAS Capabilities to Autonomously Navigate GPS-Denied Environments in the DARPA Fast Lightweight Autonomy (FLA) Program

Adam Norton, Holly Yanco ยท 2025

The DARPA Fast Lightweight Autonomy (FLA) program (2015 - 2018) served as a significant milestone in the development of UAS, particularly for autonomous navigation through unknown GPS-denied environmeโ€ฆ

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Engineering Preprint PDF DOI

Convergent NMPC-based Reinforcement Learning Using Deep Expected Sarsa and Nonlinear Temporal Difference Learning

Amine Salaje, Thomas Chevet, Nicolas Langlois ยท 2025

In this paper, we present a learning-based nonlinear model predictive controller (NMPC) using an original reinforcement learning (RL) method to learn the optimal weights of the NMPC scheme, for which โ€ฆ

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Engineering Preprint PDF DOI

D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation

Songlin Wei, Haoran Geng, Jiayi Chen, Congyue Deng, Wenbo Cui, Chengyang Zhao, Xiaomeng Fang, Leonidas Guibas, He Wang ยท 2024

Depth sensing is an important problem for 3D vision-based robotics. Yet, a real-world active stereo or ToF depth camera often produces noisy and incomplete depth which bottlenecks robot performances. โ€ฆ

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