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Engineering Preprint PDF DOI

Hybrid A*-Based Reverse Path-Planning of a Vehicle with Trailer System

Xincheng Cao, Haochong Chen, Bilin Aksun-Guvenc, Levent Guvenc, Brian Link, Peter J Richmond, Dokyung Yim, Shihong Fan, John Harber ยท 2026

Reverse parking maneuvering of a vehicle with trailer system is a difficult task to complete for human drivers due to the multi-body nature of the system and the unintuitive controls required to orienโ€ฆ

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Joint Hybrid Beamforming and Trajectory Design for Multi-UAV-Enabled Cell-Free Multi-Static ISAC

Chen Chaoran, Zhang Yuhao, Pan Zhiwen, Liu Nan ยท 2026

This paper investigates a joint hybrid digital-analog beamforming and trajectory design for a cell-free multi-static integrated sensing and communication (ISAC) system supported by multiple unmanned aโ€ฆ

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Quantization-Aware EE Optimization and SE-EE Tradeoff for MiLAC-Aided MU-MISO Beamforming

Yuchen Zhang, Pinjun Zheng, Tareq Y. Al-Naffouri ยท 2026

In large antenna arrays, hardware power consumption becomes a dominant design constraint, making energy efficiency (EE) a first-class objective alongside spectral efficiency (SE). Microwave linear anaโ€ฆ

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Sliding Mode Control for Safe Trajectory Tracking with Moving Obstacles Avoidance: Experimental Validation on Planar Robots

Shubham Sawarkar, P Sangeerth, S Saharsh, Pushpak Jagtap ยท 2026

This paper presents a unified control framework for robust trajectory tracking and moving obstacle avoidance applicable to a broad class of mobile robots. By formulating a generalized kinematic transfโ€ฆ

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Guiding Vector Field Generation via Score-based Diffusion Model

Zirui Chen, Shiliang Guo, Shiyu Zhao ยท 2026

Guiding Vector Fields (GVFs) are a powerful tool for robotic path following. However, classical methods assume smooth, ordered curves and fail when paths are unordered, multi-branch, or generated by pโ€ฆ

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Comparative Evaluation of Modern Deep Learning Methodologies for Portfolio Optimization

Samuel Ozechi, Banjo Francis, Wisdom Yakanu, Joe Wayne Byers ยท 2026

This study proposes a portfolio optimization framework that integrates advanced deep learning architectures with traditional financial models to enhance risk-adjusted performance. Using historical datโ€ฆ

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NL-COMM-Sat: Breaking the Direct Device-to-Satellite Communication Barrier via "Aggressive" Non-Orthogonal Transmissions and Non-Linear Processing

Konstantinos Nikitopoulos, Chathura Jayawardena ยท 2026

Direct Device-to-Satellite (D2S) communications, which enable direct satellite connectivity with unmodified user equipment (UE), not only expand global coverage but also reshape the evolution of futurโ€ฆ

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SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors

Wadhah Zai El Amri, Nicolas Navarro-Guerrero ยท 2026

Training machine learning models for robotic tactile sensing requires vast amounts of data, yet obtaining realistic interaction data remains a challenge due to physical complexity and variability. Simโ€ฆ

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Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment

Kaijun Zhou, Qiwei Chen, Da Peng, Zhiyang Li, Xijun Li, Jinyu Gu ยท 2026

Vision-Language-Action (VLA) models are promising for generalist robot control, but on-robot deployment is bottlenecked by real-time inference under tight cost and energy budgets. Most prior evaluatioโ€ฆ

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The Fragility of Learning LQG Controllers

Bruce D. Lee, Anastasios Tsiamis, Nikolai Matni, Manfred Morari, John Lygeros ยท 2026

Learning methods are increasingly used to synthesize controllers from data, yet existing sample-complexity characterizations for continuous control are sharp only in the fully observed setting. This pโ€ฆ

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CONCERTO: Characterization of analog readout electronics

Mounir Abdkrimi (NEEL - MagSup), Olivier Rossetto (LPSC), O. Bourrion (LPSC), Christophe Vescovi (LPSC), C. Hoarau (LPSC) ยท 2026

CONCERTO is a millimeter-wave imaging instrument that operated on the Atacama Pathfinder Experiment (APEX) telescope from April 2021 to May 2023. Its primary scientific objectives include the study ofโ€ฆ

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BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal

Phat Lam ยท 2026

Electroencephalography (EEG) is highly susceptible to artifact contamination, such as electrooculographic (EOG) and electromyographic (EMG) interference, which severely degrades signal quality and hinโ€ฆ

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A Realistic Discrete Event Simulation model for Ambulance Location and Deployment within a regional Emergency Medical Service

Alberto De Santis, Stefania Iannazzo, Fabio Ingravalle, Stefano Lucidi, Massimo Maurici, Giulia Riccardi, Massimo Roma, Antonio Vinci ยท 2026

The objective of Emergency Medical Services (EMSs) is to promptly respond to calls from citizens for first aid, providing pre-hospital care and, if necessary, to transfer patients to an appropriate Emโ€ฆ

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FreqCache: Accelerating Embodied VLN Models with Adaptive Frequency-Guided Token Caching

Zihao Zheng, Xingyue Zhou, Zhihao Mao, Songyu Sun, Lingyue Zhang, Yulong Ao, Yupu Feng, Qiongqiong Zhang, Yonghua Lin, Xiang Chen ยท 2026

Vision-Language-Navigation (VLN) models exhibit excellent navigation accuracy but incur high computational overhead. Token caching has emerged as a promising training-free strategy to reduce this costโ€ฆ

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Pedestrians play chicken with an autonomous vehicle

Rakshit Soni, Charles Fox ยท 2026

Automated vehicles (AVs) are commonly programmed to yield unconditionally to pedestrians in the interest of safety. However, this design choice can give rise to the Freezing Robot Problem in which pedโ€ฆ

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Beam Scheduling for Cross-Layer ISAC: A Deep Reinforcement Learning Approach

Xiyu Wang, Gilberto Berardinelli, Hei Victor Cheng, Petar Popovski, Ramoni Adeogun ยท 2026

Resource allocation in integrated sensing and communication (ISAC) systems needs to be optimized to balance the requirements of the communication and sensing modules considering complicated cross-layeโ€ฆ

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Semantic Segmentation for Histopathology using Learned Regularization based on Global Proportions

Yangping Li, Thomas Pinetz, Michael Holzel, Marieta Toma, Alexander Effland ยท 2026

In pathology, the spatial distribution and proportions of tissue types are key indicators of disease progression, and are more readily available than fine-grained annotations. However, these assessmenโ€ฆ

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Two-Layer Microwave Linear Analog Computer (MiLAC)-aided Multi-user MISO Networks

Xiaohua Zhou, Tianyu Fang, Yijie Mao, Bruno Clerckx ยท 2026

Microwave linear analog computer (MiLAC)-aided transmit beamforming, which processes transmitted symbols entirely in the analog domain, has recently emerged as a promising alternative to fully digitalโ€ฆ

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Projected Attainable Speed Space: A Driving Efficiency Metric Connecting Instantaneous Evaluation to Travel Time

Xiaohua Zhao, Zhaowei Huang, Chen Chen, Haiyi Yang ยท 2026

Inefficient driving behaviors, such as overly conservative yielding, remain a key obstacle to deployment of autonomous vehicles (AVs). Instantaneous driving efficiency metrics are crucial for self-driโ€ฆ

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AI-Native Autonomous Infrastructure (ANAI): A Formal Framework for the Next General-Purpose Technology

Hidir Selcuk Nogay ยท 2026

Artificial intelligence is increasingly described as a candidate next generation general purpose technology (GPT). However, existing interpretations predominantly emphasize performance scaling rather โ€ฆ

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