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๐Ÿ” manuel carro ๐Ÿ“‚ Engineering
Showing 5136 results for "manuel carro" in Engineering
Engineering Preprint PDF DOI

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation

Yang Zhou, Chaoyong Zhang, Ruoyi Hao, Huilin Pan, Yang Zhang, Hongliang Ren ยท 2026

Nasotracheal intubation (NTI) is a critical clinical procedure for establishing and maintaining patient airway patency. Machine-assisted NTI has emerged as a pivotal approach for optimizing proceduralโ€ฆ

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Engineering Preprint PDF DOI

Real-Time GPU-Accelerated Monte Carlo Evaluation of Safety-Critical AEB Systems Under Uncertainty

Akshay Karjol, Shadi Alawneh ยท 2026

Automatic Emergency Braking (AEB) systems represent a safety-critical national interest, with the National Highway Traffic Safety Administration (NHTSA) Federal Motor Vehicle Safety Standard (FMVSS Noโ€ฆ

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Engineering Preprint PDF DOI

SEP Analysis of Quantized SIMO Systems with M-PSK over Correlated Fading Channels

Amila Ravinath, Bikshapathi Gouda, Italo Atzeni, Antti Tolli ยท 2026

The average symbol error probability (SEP) of a phase-quantized single-input multiple-output system with M-ary phase-shift keying modulation and maximum ratio combining (MRC) is analyzed under correlaโ€ฆ

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Engineering Preprint PDF DOI

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models

Seongmin Kim, Daegyu Lee ยท 2026

Deploying a neuro-symbolic task planner on a new domain today requires significant manual effort: a domain expert must author relaxation and complementary rules, and hundreds of training problems mustโ€ฆ

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Engineering Preprint PDF DOI

3D Generation for Embodied AI and Robotic Simulation: A Survey

Tianwei Ye, Yifan Mao, Minwen Liao, Jian Liu, Chunchao Guo, Dazhao Du, Quanxin Shou, Fangqi Zhu, Song Guo ยท 2026

Embodied AI and robotic systems increasingly depend on scalable, diverse, and physically grounded 3D content for simulation-based training and real-world deployment. While 3D generative modeling has aโ€ฆ

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Engineering Preprint PDF DOI

Sensitivity-Based Tube NMPC for Cooperative Aerial Structures Under Parametric Uncertainty

Giuseppe Silano, Quentin Sable, Marco Tognon, Luigi Iannelli, Antonio Franchi ยท 2026

This paper presents a sensitivity-based tube Nonlinear Model Predictive Control (NMPC) framework for cooperative aerial chains under bounded parametric uncertainty. We consider a planar two-vehicle chโ€ฆ

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Engineering Preprint PDF DOI

GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning

Yufei Jia, Heng Zhang, Ziheng Zhang, Junzhe Wu, Mingrui Yu, Zifan Wang, Dixuan Jiang, Zheng Li, Chenyu Cao, Zhuoyuan Yu, Xun Yang, Haizhou Ge, Yuchi Zhang, Jiayuan Zhang, Zhenbiao Huang, Tianle Liu, Shenyu Chen, Jiacheng Wang, Bin Xie, Xuran Yao, Xiwa Deng, Guangyu Wang, Jinzhi Zhang, Lei Hao, Zhixing Chen, Yuxiang Chen, Anqi Wang, Hongyun Tian, Yiyi Yan, Zhanxiang Cao, Yizhou Jiang, Hanyang Shao, Yue Li, Lu Shi, Bokui Chen, Wei Sui, Hanqing Cui, Yusen Qin, Ruqi Huang, Lei Han, Tiancai Wang, Guyue Zhou ยท 2026

Embodied AI research is undergoing a shift toward vision-centric perceptual paradigms. While massively parallel simulators have catalyzed breakthroughs in proprioception-based locomotion, their potentโ€ฆ

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Engineering Preprint PDF DOI

Performance Analysis of HAPS-RIS-Assisted MIMO Systems Under Phase-Dependent Amplitude Response Using Saddle Point Approximation

Tayfun Yilmaz, Haci Ilhan, Ali Gorcin, Halim Yanikomeroglu ยท 2026

This letter proposes a novel mathematical framework for the statistical characterization of reconfigurable intelligent surface (RIS)-mounted high-altitude platform station (HAPS)-assisted MIMO systemsโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Privacy-Preserving Modeling and Frequency Regulation with Aggregated Electric Vehicles via Bilinear Hidden Markov Model

Yiping Liu, Xiaozhe Wang, Geza Joos ยท 2026

Vehicle-to-Grid (V2G) technology allows bidirectional power flow for real-time grid support, making electric vehicles (EVs) well-suited for ancillary services such as frequency regulation. However, exโ€ฆ

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Engineering Preprint PDF DOI

Betting for Sim-to-Real Performance Evaluation

Zaid Mahboob, Yujia Chen, Bowen Weng ยท 2026

This paper studies the problem of robot performance evaluation, focusing on how to obtain accurate and efficient estimates of real-world behavior under severe constraints on physical experimentation. โ€ฆ

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Engineering Preprint PDF DOI

Unsupervised Learning for AC Optimal Power Flow with Fast Physics-Aware Layer

Jiebao Zhang, Haoyu Yan, Haoyu Wang, Ye Shi, Zhichao Sheng, Hongwen Yu, Shuang Ye, Zhifang Yang ยท 2026

Learning to solve the Alternating Current Optimal Power Flow (AC-OPF) problem by neural networks (NNs) is a promising approach in real-time applications. Existing methods to ensure the physical feasibโ€ฆ

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Engineering Preprint PDF DOI

Large Language Model based Interactive Decision-Making for Autonomous Driving

Xinwei Dong, Jiyang Li, Jiabin Xie, Yang Yi, Tianshang Jia, Shiyu Fang, Ye Tian, Peng Hang ยท 2026

In high-conflict mixed-traffic scenarios involving human-driven and autonomous vehicles, most existing autonomous driving systems default to overly conservative behaviors, lack proactive interaction, โ€ฆ

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Engineering Preprint PDF DOI

Predictive Directional Selective Fixed-Filter Active Noise Control for Moving Sources via a Convolutional Recurrent Neural Network

Boxiang Wang, Zhengding Luo, Dongyuan Shi, Junwei Ji, Xiruo Su, Woon-Seng Gan ยท 2026

Directional Selective Fixed-Filter Active Noise Control (D-SFANC) can effectively attenuate noise from different directions by selecting the suitable pre-trained control filter based on the Direction-โ€ฆ

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Engineering Preprint PDF DOI

UAV Trajectory and Bandwidth Allocation for Efficient Data Collection in Low-Altitude Intelligent IoT: A Hierarchical DRL Approach

Zhenjia Xu, Xiaoling Zhang, Nan Qi, Xiaojie Li, Luliang Jia ยท 2026

Under the 6G wireless network evolution, the low-altitude Internet of Things (IoT), supported by unmanned aerial vehicles (UAVs) with Integrated Sensing and Communication (ISAC) capabilities, providesโ€ฆ

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Engineering Preprint PDF DOI

Integrated Lander-Propulsion-GNC Framework for Autonomous Lunar Powered Descent

Emre Aklan, Fatih Seker, Bekir Gencalioglu, Mehmet Batuhan Kaya, Yigit Serceoglu, Furkan Yavuz, Omer Burak Iskender, Burak Yaglioglu ยท 2026

This paper presents an integrated lander-propulsion-GNC framework for autonomous lunar powered descent. The BUG VTVL test vehicle serves as the reference platform, with the YUNT V0 throttleable bipropโ€ฆ

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Engineering Preprint PDF DOI

Learning from the Best: Smoothness-Driven Metrics for Data Quality in Imitation Learning

Soham Kulkarni, Raayan Dhar, Yuchen Cui ยท 2026

In behavioral cloning (BC), policy performance is fundamentally limited by demonstration data quality. Real-world datasets contain trajectories of varying quality due to operator skill differences, teโ€ฆ

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Engineering Preprint PDF DOI

Scalable Sensor Scheduling for Continuous-Discrete Kalman Filtering via Information-Form Surrogate Dynamics

Hyeongmin Choe, SooJean Han ยท 2026

We study sensor scheduling for continuous-discrete Kalman filtering with Poisson measurement arrivals and propose an information-form deterministic surrogate for scalable offline design. Unlike the coโ€ฆ

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Engineering Preprint PDF DOI

A Vision-Language-Action Model for Adaptive Ultrasound-Guided Needle Insertion and Needle Tracking

Yuelin Zhang, Qingpeng Ding, Longxiang Tang, Chengyu Fang, Shing Shin Cheng ยท 2026

Ultrasound (US)-guided needle insertion is a critical yet challenging procedure due to dynamic imaging conditions and difficulties in needle visualization. Many methods have been proposed for automateโ€ฆ

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Engineering Preprint PDF DOI

Maximum Likelihood Reconstruction for Multi-Look Digital Holography with Markov-Modeled Speckle Correlation

Xi Chen, Arian Maleki, Shirin Jalali ยท 2026

Multi-look acquisition is a widely used strategy for reducing speckle noise in coherent imaging systems such as digital holography. By acquiring multiple measurements, speckle can be suppressed througโ€ฆ

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Engineering Preprint PDF DOI

FalconApp: Rapid iPhone Deployment of End-to-End Perception via Automatically Labeled Synthetic Data

Yan Miao, Will Shen, Sayan Mitra ยท 2026

Reliable perception for robotics depends on large-scale labeled data, yet real-world datasets rely on heavy manual annotation and are time-consuming to produce. We present FalconApp, an iPhone app witโ€ฆ

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